50+ Apache Spark Jobs in India

Role & Responsibilities

Responsible for ensuring that the architecture and design of the platform remains top-notch with respect to scalability, availability, reliability and maintainability

Act as a key technical contributor as well as a hands-on contributing member of the team.

Own end-to-end availability and performance of features, driving rapid product innovation while ensuring a reliable service.

Working closely with the various stakeholders like Program Managers, Product Managers, Reliability and Continuity Engineering(RCE) team, QE team to estimate and execute features/tasks independently.

Maintain and drive tech backlog execution for non-functional requirements of the platform required to keep the platform resilient

Assist in release planning and prioritization based on technical feasibility and engineering constraints

A zeal to continually find new ways to improve architecture, design and ensure timely delivery and high quality.

We’re looking for an experienced Senior Data Engineer to lead the design and development of scalable data solutions at our company. The ideal candidate will have extensive hands-on experience in data warehousing, ETL/ELT architecture, and cloud platforms like AWS, Azure, or GCP. You will work closely with both technical and business teams, mentoring engineers while driving data quality, security, and performance optimization.

Responsibilities:

• Lead the design of data warehouses, lakes, and ETL workflows.
• Collaborate with teams to gather requirements and build scalable solutions.
• Ensure data governance, security, and optimal performance of systems.
• Mentor junior engineers and drive end-to-end project delivery.

Requirements:

• 6+ years of experience in data engineering, including at least 2 full-cycle data warehouse projects.
• Strong skills in SQL, ETL tools (e.g., Pentaho, dbt), and cloud platforms.
• Expertise in big data tools (e.g., Apache Spark, Kafka).
• Excellent communication skills and leadership abilities.

Preferred: Experience with workflow orchestration tools (e.g., Airflow), real-time data, and DataOps practices.

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We are looking for a talented Data Engineer to join our team. In this role, you will design, implement, and manage data pipelines, ensuring the accessibility and reliability of data for critical business processes. This is an exciting opportunity to work on scalable solutions that power data-driven decisions

Skillset:

Here is a list of some of the technologies you will work with (the list below is not set in stone)

Data Pipeline Orchestration and Execution:

● AWS Glue

● AWS Step Functions

● Databricks Change

Data Capture:

● Amazon Database Migration Service

● Amazon Managed Streaming for Apache Kafka with Debezium Plugin

Batch:

● AWS step functions (and Glue Jobs)

● Asynchronous queueing of batch job commands with RabbitMQ to various “ETL Jobs”

● Cron and subervisord processing on dedicated job server(s): Python & PHP

Streaming:

● Real-time processing via AWS MSK (Kafka), Apache Hudi, & Apache Flink

● Near real-time processing via worker (listeners) spread over AWS Lambda, custom server (daemons) written in Python and PHP Symfony

● Languages: Python & PySpark, Unix Shell, PHP Symfony (with Doctrine ORM)

● Monitoring & Reliability: Datadog & Cloudwatch

Things you will do:

● Build dashboards using Datadog and Cloudwatch to ensure system health and user support

● Build schema registries that enable data governance

● Partner with end-users to resolve service disruptions and evangelize our data product offerings

● Vigilantly oversee data quality and alert upstream data producers of issues

● Support and contribute to the data platform architecture strategy, roadmap, and implementation plans to support the company’s data-driven initiatives and business objective

● Work with Business Intelligence (BI) consumers to deliver enterprise-wide fact and dimension data product tables to enable data-driven decision-making across the organization.

● Other duties as assigned

Role & Responsibilities

About the Role:

We are seeking a highly skilled Senior Data Engineer with 5-7 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in data warehouse architecture, data modeling, ETL processes, and building both batch and streaming pipelines. The candidate should also possess advanced proficiency in Spark, Databricks, Kafka, Python, SQL, and Change Data Capture (CDC) methodologies.

Key responsibilities:

Design, develop, and maintain robust data warehouse solutions to support the organization's analytical and reporting needs.

Implement efficient data modeling techniques to optimize performance and scalability of data systems.

Build and manage data lakehouse infrastructure, ensuring reliability, availability, and security of data assets.

Develop and maintain ETL pipelines to ingest, transform, and load data from various sources into the data warehouse and data lakehouse.

Utilize Spark and Databricks to process large-scale datasets efficiently and in real-time.

Implement Kafka for building real-time streaming pipelines and ensure data consistency and reliability.

Design and develop batch pipelines for scheduled data processing tasks.

Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver effective data solutions.

Perform data analysis and troubleshooting to identify and resolve data quality issues and performance bottlenecks.

Stay updated with the latest technologies and industry trends in data engineering and contribute to continuous improvement initiatives.

Role & Responsibilities

Lead and mentor a team of data engineers, ensuring high performance and career growth.

Architect and optimize scalable data infrastructure, ensuring high availability and reliability.

Drive the development and implementation of data governance frameworks and best practices.

Work closely with cross-functional teams to define and execute a data roadmap.

Optimize data processing workflows for performance and cost efficiency.

Ensure data security, compliance, and quality across all data platforms.

Foster a culture of innovation and technical excellence within the data team.

Key Responsibilities:

• Design, build, and maintain scalable, real-time data pipelines using Apache Flink (or Apache Spark).
• Work with Apache Kafka (mandatory) for real-time messaging and event-driven data flows.
• Build data infrastructure on Lakehouse architecture, integrating data lakes and data warehouses for efficient storage and processing.
• Implement data versioning and cataloging using Apache Nessie, and optimize datasets for analytics with Apache Iceberg.
• Apply advanced data modeling techniques and performance tuning using Apache Doris or similar OLAP systems.
• Orchestrate complex data workflows using DAG-based tools like Prefect, Airflow, or Mage.
• Collaborate with data scientists, analysts, and engineering teams to develop and deliver scalable data solutions.
• Ensure data quality, consistency, performance, and security across all pipelines and systems.
• Continuously research, evaluate, and adopt new tools and technologies to improve our data platform.

Skills & Qualifications:

• 3–6 years of experience in data engineering, building scalable data pipelines and systems.
• Strong programming skills in Python, Go, or Java.
• Hands-on experience with stream processing frameworks – Apache Flink (preferred) or Apache Spark.
• Mandatory experience with Apache Kafka for stream data ingestion and message brokering.
• Proficiency with at least one DAG-based orchestration tool like Airflow, Prefect, or Mage.
• Solid understanding and hands-on experience with SQL and NoSQL databases.
• Deep understanding of data lakehouse architectures, including internal workings of data lakes and data warehouses, not just usage.
• Experience working with at least one cloud platform, preferably AWS (GCP or Azure also acceptable).
• Strong knowledge of distributed systems, data modeling, and performance optimization.

Nice to Have:

• Experience with Apache Doris or other MPP/OLAP databases.
• Familiarity with CI/CD pipelines, DevOps practices, and infrastructure-as-code in data workflows.
• Exposure to modern data version control and cataloging tools like Apache Nessie.

Role & Responsibilities

Lead and mentor a team of data engineers, ensuring high performance and career growth.

Architect and optimize scalable data infrastructure, ensuring high availability and reliability.

Drive the development and implementation of data governance frameworks and best practices.

Work closely with cross-functional teams to define and execute a data roadmap.

Optimize data processing workflows for performance and cost efficiency.

Ensure data security, compliance, and quality across all data platforms.

Foster a culture of innovation and technical excellence within the data team.

Role & Responsibilities

Lead and mentor a team of data engineers, ensuring high performance and career growth.

Architect and optimize scalable data infrastructure, ensuring high availability and reliability.

Drive the development and implementation of data governance frameworks and best practices.

Work closely with cross-functional teams to define and execute a data roadmap.

Optimize data processing workflows for performance and cost efficiency.

Ensure data security, compliance, and quality across all data platforms.

Foster a culture of innovation and technical excellence within the data team.

Dear Candidate,

We are urgently looking for a Release- Big data Engineer For Pune Location.

Experience : 5-8 yrs

Location : Pune

Skills: Big data Engineer , Release Engineer ,DevOps, Aws/Azure/GCP Cloud exp. ,

JD:

• Oversee the end-to-end release lifecycle, from planning to post-production monitoring. Coordinate with cross-functional teams (DBA, BizOps, DevOps, DNS).
• Partner with development teams to resolve technical challenges in deployment and automation test runs
• Work with shared services DBA teams for schema-based multi-tenancy designs and smooth migrations.
• Drive automation for batch deployments and DR exercises. YAML based micro service deployment using shell/Python/Go
• Provide oversight for Big Data toolsets for deployment (e.g., Spark, Hive, HBase) in private cloud and public cloud CDP environments
• Ensure high-quality releases with a focus on stability and long-term performance.
• Able to run the automation batch scripts and debug the deployment and functional aspects/ work with dev leads to resolve the release cycle issues.

Regards,

Minakshi Soni

Executive- Talent Acquisition

Rigel Networks

Position : Software Engineer (Java Backend Engineer)

Experience : 4+ Years

📍 Location : Bangalore, India (Hybrid)

Mandatory Skills : Java 8+ (Advanced Features), Spring Boot, Apache Spark (Spark Streaming), SQL & Cosmos DB, Git, Maven, CI/CD (Jenkins, GitHub), Azure Cloud, Agile Scrum.

About the Role :

We are seeking a highly skilled Backend Engineer with expertise in Java, Spark, and microservices architecture to join our dynamic team. The ideal candidate will have a strong background in object-oriented programming, experience with Spark Streaming, and a deep understanding of distributed systems and cloud technologies.

Key Responsibilities :

• Design, develop, and maintain highly scalable microservices and optimized RESTful APIs using Spring Boot and Java 8+.
• Implement and optimize Spark Streaming applications for real-time data processing.
• Utilize advanced Java 8 features, including:
• Functional interfaces & Lambda expressions
• Streams and Parallel Streams
• Completable Futures & Concurrency API improvements
• Enhanced Collections APIs
• Work with relational (SQL) and NoSQL (Cosmos DB) databases, ensuring efficient data modeling and retrieval.
• Develop and manage CI/CD pipelines using Jenkins, GitHub, and related automation tools.
• Collaborate with cross-functional teams, including Product, Business, and Automation, to deliver end-to-end product features.
• Ensure adherence to Agile Scrum practices and participate in code reviews to maintain high-quality standards.
• Deploy and manage applications in Azure Cloud environments.

Minimum Qualifications:

• BS/MS in Computer Science or a related field.
• 4+ Years of experience developing backend applications with Spring Boot and Java 8+.
• 3+ Years of hands-on experience with Git for version control.
• Strong understanding of software design patterns and distributed computing principles.
• Experience with Maven for building and deploying artifacts.
• Proven ability to work in Agile Scrum environments with a collaborative team mindset.
• Prior experience with Azure Cloud Technologies.

Responsibilities:

• Build customer facing solution for Data Observability product to monitor Data Pipelines

• Work on POCs to build new data pipeline monitoring capabilities.

• Building next-generation scalable, reliable, flexible, high-performance data pipeline capabilities for ingestion of data from multiple sources containing complex dataset.

•Continuously improve services you own, making them more performant, and utilising resources in the most optimised way.

• Collaborate closely with engineering, data science team and product team to propose an optimal solution for a given problem statement

• Working closely with DevOps team on performance monitoring and MLOps

Required Skills:

• 3+ Years of Data related technology experience.

• Good understanding of distributed computing principles

• Experience in Apache Spark

•  Hands on programming with Python

• Knowledge of Hadoop v2, Map Reduce, HDFS

• Experience with building stream-processing systems, using technologies such as Apache Storm, Spark-Streaming or Flink

• Experience with messaging systems, such as Kafka or RabbitMQ

• Good understanding of Big Data querying tools, such as Hive

• Experience with integration of data from multiple data sources

• Good understanding of SQL queries, joins, stored procedures, relational schemas

• Experience with NoSQL databases, such as HBase, Cassandra/Scylla, MongoDB

• Knowledge of ETL techniques and frameworks

• Performance tuning of Spark Jobs

• General understanding of Data Quality is a plus point

• Experience on Databricks,snowflake and BigQuery or similar lake houses would be a big plus

• Nice to have some knowledge in DevOps

We are actively seeking a self-motivated Data Engineer with expertise in Azure cloud and Databricks, with a thorough understanding of Delta Lake and Lake-house Architecture. The ideal candidate should excel in developing scalable data solutions, crafting platform tools, and integrating systems, while demonstrating proficiency in cloud-native database solutions and distributed data processing.

Key Responsibilities:

• Contribute to the development and upkeep of a scalable data platform, incorporating tools and frameworks that leverage Azure and Databricks capabilities.
• Exhibit proficiency in various RDBMS databases such as MySQL and SQL-Server, emphasizing their integration in applications and pipeline development.
• Design and maintain high-caliber code, including data pipelines and applications, utilizing Python, Scala, and PHP.
• Implement effective data processing solutions via Apache Spark, optimizing Spark applications for large-scale data handling.
• Optimize data storage using formats like Parquet and Delta Lake to ensure efficient data accessibility and reliable performance.
• Demonstrate understanding of Hive Metastore, Unity Catalog Metastore, and the operational dynamics of external tables.
• Collaborate with diverse teams to convert business requirements into precise technical specifications.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• Demonstrated hands-on experience with Azure cloud services and Databricks.
• Proficient programming skills in Python, Scala, and PHP.
• In-depth knowledge of SQL, NoSQL databases, and data warehousing principles.
• Familiarity with distributed data processing and external table management.
• Insight into enterprise data solutions for PIM, CDP, MDM, and ERP applications.
• Exceptional problem-solving acumen and meticulous attention to detail.

Additional Qualifications :

• Acquaintance with data security and privacy standards.
• Experience in CI/CD pipelines and version control systems, notably Git.
• Familiarity with Agile methodologies and DevOps practices.
• Competence in technical writing for comprehensive documentation.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

.

Job Summary:

As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Integration, Processing & Governance

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Implement scalable architectural models for data processing and storage

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 5+ years of IT experience with 3+ years in Data related technologies

2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Cloud data specialty and other related Big data technology certifications

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Data Engineering : Senior Engineer / Manager

As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Must Have skills :

1. GCP

2. Spark streaming : Live data streaming experience is desired.

3. Any 1 coding language: Java/Pyhton /Scala

Skills & Experience :

- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies

- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

- Strong experience in at least of the programming language Java, Scala, Python. Java preferable

- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.

- Well-versed and working knowledge with data platform related services on GCP

- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position

Your Impact :

- Data Ingestion, Integration and Transformation

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

- Build functionality for data analytics, search and aggregation

🚀 Exciting Opportunity: Data Engineer Position in Gurugram 🌐

Hello 

We are actively seeking a talented and experienced Data Engineer to join our dynamic team at Reality Motivational Venture in Gurugram (Gurgaon). If you're passionate about data, thrive in a collaborative environment, and possess the skills we're looking for, we want to hear from you!

Position: Data Engineer  

Location: Gurugram (Gurgaon)  

Experience: 5+ years 

Key Skills:

- Python

- Spark, Pyspark

- Data Governance

- Cloud (AWS/Azure/GCP)

Main Responsibilities:

- Define and set up analytics environments for "Big Data" applications in collaboration with domain experts.

- Implement ETL processes for telemetry-based and stationary test data.

- Support in defining data governance, including data lifecycle management.

- Develop large-scale data processing engines and real-time search and analytics based on time series data.

- Ensure technical, methodological, and quality aspects.

- Support CI/CD processes.

- Foster know-how development and transfer, continuous improvement of leading technologies within Data Engineering.

- Collaborate with solution architects on the development of complex on-premise, hybrid, and cloud solution architectures.

Qualification Requirements:

- BSc, MSc, MEng, or PhD in Computer Science, Informatics/Telematics, Mathematics/Statistics, or a comparable engineering degree.

- Proficiency in Python and the PyData stack (Pandas/Numpy).

- Experience in high-level programming languages (C#/C++/Java).

- Familiarity with scalable processing environments like Dask (or Spark).

- Proficient in Linux and scripting languages (Bash Scripts).

- Experience in containerization and orchestration of containerized services (Kubernetes).

- Education in database technologies (SQL/OLAP and Non-SQL).

- Interest in Big Data storage technologies (Elastic, ClickHouse).

- Familiarity with Cloud technologies (Azure, AWS, GCP).

- Fluent English communication skills (speaking and writing).

- Ability to work constructively with a global team.

- Willingness to travel for business trips during development projects.

Preferable:

- Working knowledge of vehicle architectures, communication, and components.

- Experience in additional programming languages (C#/C++/Java, R, Scala, MATLAB).

- Experience in time-series processing.

How to Apply:

Interested candidates, please share your updated CV/resume with me.

Thank you for considering this exciting opportunity.

About Us:

6sense is a Predictive Intelligence Engine that is reimagining how B2B companies do

sales and marketing. It works with big data at scale, advanced machine learning and

predictive modelling to find buyers and predict what they will purchase, when and

how much.

6sense helps B2B marketing and sales organizations fully understand the complex ABM

buyer journey. By combining intent signals from every channel with the industry’s most

advanced AI predictive capabilities, it is finally possible to predict account demand and

optimize demand generation in an ABM world. Equipped with the power of AI and the

6sense Demand PlatformTM, marketing and sales professionals can uncover, prioritize,

and engage buyers to drive more revenue.

6sense is seeking a Staff Software Engineer and data to become part of a team

designing, developing, and deploying its customer-centric applications.

We’ve more than doubled our revenue in the past five years and completed our Series

E funding of $200M last year, giving us a stable foundation for growth.

Responsibilities:

1. Own critical datasets and data pipelines for product & business, and work

towards direct business goals of increased data coverage, data match rates, data

quality, data freshness

2. Create more value from various datasets with creative solutions, and unlocking

more value from existing data, and help build data moat for the company3. Design, develop, test, deploy and maintain optimal data pipelines, and assemble

large, complex data sets that meet functional and non-functional business

requirements

4. Improving our current data pipelines i.e. improve their performance, SLAs,

remove redundancies, and figure out a way to test before v/s after roll out

5. Identify, design, and implement process improvements in data flow across

multiple stages and via collaboration with multiple cross functional teams eg.

automating manual processes, optimising data delivery, hand-off processes etc.

6. Work with cross function stakeholders including the Product, Data Analytics ,

Customer Support teams for their enablement for data access and related goals

7. Build for security, privacy, scalability, reliability and compliance

8. Mentor and coach other team members on scalable and extensible solutions

design, and best coding standards

9. Help build a team and cultivate innovation by driving cross-collaboration and

execution of projects across multiple teams

Requirements:

 8-10+ years of overall work experience as a Data Engineer

 Excellent analytical and problem-solving skills

 Strong experience with Big Data technologies like Apache Spark. Experience with

Hadoop, Hive, Presto would-be a plus

 Strong experience in writing complex, optimized SQL queries across large data

sets. Experience with optimizing queries and underlying storage

 Experience with Python/ Scala

 Experience with Apache Airflow or other orchestration tools

 Experience with writing Hive / Presto UDFs in Java

 Experience working on AWS cloud platform and services.

 Experience with Key Value stores or NoSQL databases would be a plus.

 Comfortable with Unix / Linux command line

Interpersonal Skills:

 You can work independently as well as part of a team.

 You take ownership of projects and drive them to conclusion.

 You’re a good communicator and are capable of not just doing the work, but also

teaching others and explaining the “why” behind complicated technical

decisions.

 You aren’t afraid to roll up your sleeves: This role will evolve over time, and we’ll

want you to evolve with it

Lead Data Engineer

Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution.

Job responsibilities

·      You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems

·      You will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challenges

·      You will collaborate with Data Scientists in order to design scalable implementations of their models

·      You will pair to write clean and iterative code based on TDD

·      Leverage various continuous delivery practices to deploy, support and operate data pipelines

·      Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available

·      Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions

·      Create data models and speak to the tradeoffs of different modeling approaches

·      On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product

·      Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process

·      Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes

Job qualifications Technical skills

·      You are equally happy coding and leading a team to implement a solution

·      You have a track record of innovation and expertise in Data Engineering

·      You're passionate about craftsmanship and have applied your expertise across a range of industries and organizations

·      You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop

·      You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting

·      Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions

·      You are comfortable taking data-driven approaches and applying data security strategy to solve business problems

·      You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments

·      Working with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems

Professional skills

·      Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineers

·      You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives

·      An interest in coaching others, sharing your experience and knowledge with teammates

·      You enjoy influencing others and always advocate for technical excellence while being open to change when needed

TOP 3 SKILLS

Python (Language)

Spark Framework

Spark Streaming

Docker/Jenkins/ Spinakar

AWS

Hive Queries

He/She should be good coder.

Preff: - Airflow

Must have experience: -

Python

Spark framework and streaming

exposure to Machine Learning Lifecycle is mandatory.

Project:

This is searching domain project. Any searching activity which is happening on website this team create the model for the same, they create sorting/scored model for any search. This is done by the data

scientist This team is working more on the streaming side of data, the candidate would work extensively on Spark streaming and there will be a lot of work in Machine Learning.

INTERVIEW INFORMATION

3-4 rounds.

1st round based on data engineering batching experience.

2nd round based on data engineering streaming experience.

3rd round based on ML lifecycle (3rd round can be a techno-functional round based on previous

feedbacks otherwise 4th round will be a functional round if required.

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

• Creating and managing ETL/ELT pipelines based on requirements
• Build PowerBI dashboards and manage datasets needed.
• Work with stakeholders to identify data structures needed for future and perform any transformations including aggregations.
• Build data cubes for real-time visualisation needs and CXO dashboards.

Required Tech Skills

• Microsoft PowerBI & DAX
• Python, Pandas, PyArrow, Jupyter Noteboks, ApacheSpark
• Azure Synapse, Azure DataBricks, Azure HDInsight, Azure Data Factory

Have you streamed a program on Disney+, watched your favorite binge-worthy series on Peacock or cheered your favorite team on during the World Cup from one of the 20 top streaming platforms around the globe? If the answer is yes, you’ve already benefitted from Conviva technology, helping the world’s leading streaming publishers deliver exceptional streaming experiences and grow their businesses. 

Conviva is the only global streaming analytics platform for big data that collects, standardizes, and puts trillions of cross-screen, streaming data points in context, in real time. The Conviva platform provides comprehensive, continuous, census-level measurement through real-time, server side sessionization at unprecedented scale. If this sounds important, it is! We measure a global footprint of more than 500 million unique viewers in 180 countries watching 220 billion streams per year across 3 billion applications streaming on devices. With Conviva, customers get a unique level of actionability and scale from continuous streaming measurement insights and benchmarking across every stream, every screen, every second.

What you get to do in this role:

Work on extremely high scale RUST web services or backend systems.

Design and develop solutions for highly scalable web and backend systems.

Proactively identify and solve performance issues.

Maintain a high bar on code quality and unit testing.

What you bring to the role:

5+ years of hands-on software development experience.

At least 2+ years of RUST development experience.

Knowledge of cargo packages for kafka, redis etc.

Strong CS fundamentals, including system design, data structures and algorithms.

Expertise in backend and web services development.

Good analytical and troubleshooting skills.

What will help you stand out:

Experience working with large scale web services and applications.

Exposure to Golang, Scala or Java

Exposure to Big data systems like Kafka, Spark, Hadoop etc.

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery.  

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! 

Have you streamed a program on Disney+, watched your favorite binge-worthy series on Peacock or cheered your favorite team on during the World Cup from one of the 20 top streaming platforms around the globe? If the answer is yes, you’ve already benefitted from Conviva technology, helping the world’s leading streaming publishers deliver exceptional streaming experiences and grow their businesses. 

Conviva is the only global streaming analytics platform for big data that collects, standardizes, and puts trillions of cross-screen, streaming data points in context, in real time. The Conviva platform provides comprehensive, continuous, census-level measurement through real-time, server side sessionization at unprecedented scale. If this sounds important, it is! We measure a global footprint of more than 500 million unique viewers in 180 countries watching 220 billion streams per year across 3 billion applications streaming on devices. With Conviva, customers get a unique level of actionability and scale from continuous streaming measurement insights and benchmarking across every stream, every screen, every second.

As Conviva is expanding, we are building products providing deep insights into end user experience for our customers.

Platform and TLB Team

The vision for the TLB team is to build data processing software that works on terabytes of streaming data in real time. Engineer the next-gen Spark-like system for in-memory computation of large time-series dataset’s – both Spark-like backend infra and library based programming model. Build horizontally and vertically scalable system that analyses trillions of events per day within sub second latencies. Utilize the latest and greatest of big data technologies to build solutions for use-cases across multiple verticals. Lead technology innovation and advancement that will have big business impact for years to come. Be part of a worldwide team building software using the latest technologies and the best of software development tools and processes.

What You’ll Do

This is an individual contributor position. Expectations will be on the below lines:

• Design, build and maintain the stream processing, and time-series analysis system which is at the heart of Conviva's products
• Responsible for the architecture of the Conviva platform
• Build features, enhancements, new services, and bug fixing in Scala and Java on a Jenkins-based pipeline to be deployed as Docker containers on Kubernetes
• Own the entire lifecycle of your microservice including early specs, design, technology choice, development, unit-testing, integration-testing, documentation, deployment, troubleshooting, enhancements etc.
• Lead a team to develop a feature or parts of the product
• Adhere to the Agile model of software development to plan, estimate, and ship per business priority

What you need to succeed

• 9+ years of work experience in software development of data processing products.
• Engineering degree in software or equivalent from a premier institute.
• Excellent knowledge of fundamentals of Computer Science like algorithms and data structures. Hands-on with functional programming and know-how of its concepts
• Excellent programming and debugging skills on the JVM. Proficient in writing code in Scala/Java/Rust/Haskell/Erlang that is reliable, maintainable, secure, and performant
• Experience with big data technologies like Spark, Flink, Kafka, Druid, HDFS, etc.
• Deep understanding of distributed systems concepts and scalability challenges including multi-threading, concurrency, sharding, partitioning, etc.
• Experience/knowledge of Akka/Lagom framework and/or stream processing technologies like RxJava or Project Reactor will be a big plus. Knowledge of design patterns like event-streaming, CQRS and DDD to build large microservice architectures will be a big plus
• Excellent communication skills. Willingness to work under pressure. Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their businesses ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision, and Warner Bros Discovery.  

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! 

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

What we are looking for:

● 3+ years’ experience developing Data & Analytic solutions

● Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive& Spark

● Experience with relational SQL

● Experience with scripting languages such as Shell, Python

● Experience with source control tools such as GitHub and related dev process

● Experience with workflow scheduling tools such as Airflow

● In-depth knowledge of scalable cloud

● Has a passion for data solutions

● Strong understanding of data structures and algorithms

● Strong understanding of solution and technical design

● Has a strong problem-solving and analytical mindset

● Experience working with Agile Teams.

● Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

● Able to quickly pick up new programming languages, technologies, and frameworks

● Bachelor’s Degree in computer science

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

Data Engineer- Senior

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What are you going to do?

Design & Develop high performance and scalable solutions that meet the needs of our customers.

Closely work with the Product Management, Architects and cross functional teams.

Build and deploy large-scale systems in Java/Python.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.

Follow best practices that can be adopted in Bigdata stack.

Use your engineering experience and technical skills to drive the features and mentor the engineers.

What are we looking for ( Competencies) :

Bachelor’s degree in computer science, computer engineering, or related technical discipline.

Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.

Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.

Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.

Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.

Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.

Ability to work with distributed teams in a collaborative and productive manner.

Benefits:

Competitive Salary Packages and benefits.

Collaborative, lively and an upbeat work environment with young professionals.

Job Category: Development

Job Type: Full Time

Job Location: Bangalore

• 5+ years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications
• Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
• Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• Kafka
• J2EE Frameworks (Spring/Hibernate/REST)
• Spark Streaming or any other streaming technology.
• Java programming language is mandatory.
• Good to have experience with Java
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories’ execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counterparts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

About Slintel (a 6sense company) :

Slintel, a 6sense company,  the leader in capturing technographics-powered buying intent, helps companies uncover the 3% of active buyers in their target market. Slintel evaluates over 100 billion data points and analyzes factors such as buyer journeys, technology adoption patterns, and other digital footprints to deliver market & sales intelligence.

Slintel's customers have access to the buying patterns and contact information of more than 17 million companies and 250 million decision makers across the world.

Slintel is a fast growing B2B SaaS company in the sales and marketing tech space. We are funded by top tier VCs, and going after a billion dollar opportunity. At Slintel, we are building a sales development automation platform that can significantly improve outcomes for sales teams, while reducing the number of hours spent on research and outreach.

We are a big data company and perform deep analysis on technology buying patterns, buyer pain points to understand where buyers are in their journey. Over 100 billion data points are analyzed every week to derive recommendations on where companies should focus their marketing and sales efforts on. Third party intent signals are then clubbed with first party data from CRMs to derive meaningful recommendations on whom to target on any given day.

6sense is headquartered in San Francisco, CA and has 8 office locations across 4 countries.

6sense, an account engagement platform, secured $200 million in a Series E funding round, bringing its total valuation to $5.2 billion 10 months after its $125 million Series D round. The investment was co-led by Blue Owl and MSD Partners, among other new and existing investors.

Linkedin (Slintel) : https://www.linkedin.com/company/slintel/">https://www.linkedin.com/company/slintel/

Industry : Software Development

Company size : 51-200 employees (189 on LinkedIn)

Headquarters : Mountain View, California

Founded : 2016

Specialties : Technographics, lead intelligence, Sales Intelligence, Company Data, and Lead Data.

Website (Slintel) : https://www.slintel.com/slintel">https://www.slintel.com/slintel

Linkedin (6sense) : https://www.linkedin.com/company/6sense/">https://www.linkedin.com/company/6sense/

Industry : Software Development

Company size : 501-1,000 employees (937 on LinkedIn)

Headquarters : San Francisco, California

Founded : 2013

Specialties : Predictive intelligence, Predictive marketing, B2B marketing, and Predictive sales

Website (6sense) : https://6sense.com/">https://6sense.com/

Acquisition News : 

https://inc42.com/buzz/us-based-based-6sense-acquires-b2b-buyer-intelligence-startup-slintel/ 

Funding Details & News :

Slintel funding : https://www.crunchbase.com/organization/slintel">https://www.crunchbase.com/organization/slintel

6sense funding : https://www.crunchbase.com/organization/6sense">https://www.crunchbase.com/organization/6sense

https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round">https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round

https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round">https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round

https://xipometer.com/en/company/6sense">https://xipometer.com/en/company/6sense

Slintel & 6sense Customers :

https://www.featuredcustomers.com/vendor/slintel/customers

https://www.featuredcustomers.com/vendor/6sense/customers">https://www.featuredcustomers.com/vendor/6sense/customers

Responsibilities

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elastic search, MongoDB, and AWS technology
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems
  
  

Requirements

• 3+ years of experience in a Data Engineer role
• Proficiency in Linux
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena
• Must have experience with Python/ Scala
• Must have experience with Big Data technologies like Apache Spark
• Must have experience with Apache Airflow
• Experience with data pipeline and ETL tools like AWS Glue
• Experience working with AWS cloud services: EC2 S3 RDS, Redshift and other Data solutions eg. Databricks, Snowflake

Python, SQL, Scala, Spark, ETL

Job Description: Data Scientist

At Propellor.ai, we derive insights that allow our clients to make scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science, and Business Logic. Combine these and we show our clients a 360-degree view of their business. In this role, the Data Scientist will be expected to work on Procurement problems along with a team-based across the globe.

We are a Remote-First Company.

Read more about us here: https://www.propellor.ai/consulting" target="_blank">https://www.propellor.ai/consulting

What will help you be successful in this role

• Articulate
• High Energy
• Passion to learn
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
• Ability to narrate the story to the business stakeholders
• Generate insights and the ability to turn them into actions and decisions

Skills to work in a challenging, complex project environment

• Need you to be naturally curious and have a passion for understanding consumer behavior
• A high level of motivation, passion, and high sense of ownership
• Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities
• Flexibility to work on multiple projects and deadline-driven fast-paced environment
• Ability to work in ambiguity and manage the chaos

Key Responsibilities

• Analyze data to unlock insights: Ability to identify relevant insights and actions from data.  Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.   
• Bring in experience for AI and ML:  Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
• Exploratory Data Analysis (EDA) and Generate Insights: Analyse internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data and evaluate data points across the enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights. 
• DS and ML Model Identification and Training: Identity, test, and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance, and accuracy as required. Experiment and identify features from datasets that will help influence model outputs.  Determine what models will need to be deployed, data points that need to be fed into models, and aid in the deployment and maintenance of models.

Technical Skills

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work, fast learners and are team players.

• Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, Text Analytics and Computer Vision.
• Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, or similar.
• Strong experience with popular database programming languages including SQL.
• Strong experience in Spark/Pyspark
• Experience in working in Databricks

What are the company benefits you get, when you join us as?

• Permanent Work from Home Opportunity
• Opportunity to work with Business Decision Makers and an internationally based team
• The work environment that offers limitless learning
• A culture void of any bureaucracy, hierarchy
• A culture of being open, direct, and with mutual respect
• A fun, high-caliber team that trusts you and provides the support and mentorship to help you grow
• The opportunity to work on high-impact business problems that are already defining the future of Marketing and improving real lives

To know more about how we work: https://bit.ly/3Oy6WlE" target="_blank">https://bit.ly/3Oy6WlE

Whom will you work with?

You will closely work with other Senior Data Scientists and Data Engineers.

Immediate to 15-day Joiners will be preferred.

We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.

Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree

Job Responsibilities:

• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team

• Have minimum 3 years of AWS Cloud experience.

• Well versed in languages such as Python, PySpark, SQL, NodeJS etc

• Has extensive experience in Spark ecosystem and has worked on both real time and batch processing

• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.

• Experience with modern Database systems such as Redshift, Presto, Hive etc.

• Worked on building data lakes in the past on S3 or Apache Hudi

• Solid understanding of Data Warehousing Concepts

• Good to have experience on tools such as Kafka or Kinesis

• Good to have AWS Developer Associate or Solutions Architect Associate Certification

• Have experience in managing a team

Location:  Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer

Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

• To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
• Design and develop AI//ML models to be deployed across factories
• Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
• Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
• Prior experience in developing AI and ML models is required
• Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

• Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
• Multitasking, good communication necessary
• Entrepreneurial attitude

• Job Location:                      Chennai
• Reporting to:                      Team Leader, Energy Management System

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.

Should have Passion to learn and adapt new technologies, understanding,

solving/troubleshooting issues and risks, able to make informed decisions and ability to

lead the projects.

Your Qualifications

• 2-5 Years’ Experience with functional programming
• Experience with functional programming using Scala with Spark framework.
• Strong understanding of Object-oriented programming, data structures and algorithms
• Good experience in any of the cloud platforms (Azure, AWS, GCP) etc.,
• Experience with distributed (multi-tiered) systems, relational databases and NoSql storage solutions
• Desire to learn new technologies and languages
• Participation in software design, development, and code reviews
• High level of proficiency with Computer Science/Software Engineering knowledge and contribution to the technical skills growth of other team members

Your Responsibility

• Design, build and configure applications to meet business process and application requirements
• Proactively identify and communicate potential issues and concerns and recommend/implement alternative solutions as appropriate.
• Troubleshooting & Optimization of existing solution

Data Engineer JD:

• Designing, developing, constructing, installing, testing and maintaining the complete data management & processing systems.
• Building highly scalable, robust, fault-tolerant, & secure user data platform adhering to data protection laws.
• Taking care of the complete ETL (Extract, Transform & Load) process.
• Ensuring architecture is planned in such a way that it meets all the business requirements.
• Exploring new ways of using existing data, to provide more insights out of it.
• Proposing ways to improve data quality, reliability & efficiency of the whole system.
• Creating data models to reduce system complexity and hence increase efficiency & reduce cost.
• Introducing new data management tools & technologies into the existing system to make it more efficient.
• Setting up monitoring and alarming on data pipeline jobs to detect failures and anomalies

What do we expect from you?

• BS/MS in Computer Science or equivalent experience
• 5 years of recent experience in Big Data Engineering.
• Good experience in working with Hadoop and Big Data technologies like HDFS, Pig, Hive, Zookeeper, Storm, Spark, Airflow and NoSQL systems
• Excellent programming and debugging skills in Java or Python.
• Apache spark, python, hands on experience in deploying ML models
• Has worked on streaming and realtime pipelines
• Experience with Apache Kafka or has worked with any of Spark Streaming, Flume or Storm

Focus Area:

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

• Experience with Cloud native Data tools/Services such as AWS Athena, AWS Glue, Redshift Spectrum, AWS EMR, AWS Aurora, Big Query, Big Table, S3, etc.

• Strong programming skills in at least one of the following languages: Java, Scala, C++.

• Familiarity with a scripting language like Python as well as Unix/Linux shells.

• Comfortable with multiple AWS components including RDS, AWS Lambda, AWS Glue, AWS Athena, EMR. Equivalent tools in the GCP stack will also suffice.

• Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.

• Experience implementing software around data processing, metadata management, and ETL pipeline tools like Airflow.

Experience with the following software/tools is highly desired:

• Apache Spark, Kafka, Hive, etc.

• SQL and NoSQL databases like MySQL, Postgres, DynamoDB.

• Workflow management tools like Airflow.

• AWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMR.

• Familiarity with Spark programming paradigms (batch and stream-processing).

• RESTful API services.

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19,
• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India.
• upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany.
• We were also covered by the Financial Times along with other disruptors in Ed-Tech.
• upGrad is the official education partner for Government of India - Startup India program.
• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning.

• Work with Product Managers and Business to understand business/product requirements and vision.
• Provide a clear architectural vision in line with business and product vision.
• Lead a team of architects, developers, and data engineers to provide platform services to other engineering teams.
• Provide architectural oversight to engineering teams across the organization.
• Hands on design and development of platform services and features owned by self - this is a hands-on coding role.
• Define guidelines for best practices covering design, unit testing, secure coding etc.
• Ensure quality by reviewing design, code, test plans, load test plans etc. as appropriate.
• Work closely with the QA and Support teams to track quality and proactively identify improvement opportunities.
• Work closely with DevOps and IT to ensure highly secure and cost optimized operations in the cloud.
• Grow technical skills in the team - identify skill gaps with plans to address them, participate in hiring, mentor other architects and engineers.
• Support other engineers in resolving complex technical issues as a go-to person.

• 12+ years of experience in design and development of ecommerce scale systems and highly scalable SaaS or enterprise products.
• Extensive experience in developing extensible and scalable web applications with
  • Java, Spring Boot, Go
  • Web Services - REST, OAuth, OData
  • Database/Caching - MySQL, Cassandra, MongoDB, Memcached/Redis
  • Queue/Broker services - RabbitMQ/Kafka
  • Microservices architecture via Docker on AWS or Azure.
  • Experience with web front end technologies - HTML5, CSS3, JavaScript libraries and frameworks such as jQuery, AngularJS, React, Vue.js, Bootstrap etc.

• Extensive experience with cloud based architectures and how to optimize design for cost.
• Expert level understanding of secure application design practices and a working understanding of cloud infrastructure security.
• Experience with CI/CD processes and design for testability.
• Experience working with big data technologies such as Spark/Storm/Hadoop/Data Lake Architectures is a big plus.
• Action and result-oriented problem-solver who works well both independently and as part of a team; able to foster and develop others' ideas as well as his/her own.
• Ability to organize, prioritize and schedule a high workload and multiple parallel projects efficiently.
• Excellent verbal and written communication with stakeholders in a matrixed environment.
• Long term experience with at least one product from inception to completion and evolution of the product over multiple years.

• Does analytics to extract insights from raw historical data of the organization. 
• Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
• Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
• Tests the short/long term impact of productized MV models on those trends.
• Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory. 

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients