

Wissen Technology
https://www.wissen.comAbout
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
Jobs at Wissen Technology
- 2+ years of hands-on experience in Java development.
- Strong knowledge of Boto3/Boto AWS libraries (Python).
- Solid experience with AWS services: EC2, ELB/ALB, CloudWatch.
- Familiarity with SRE practices and maintenance processes.
- Strong experience in debugging, troubleshooting, and unit testing.
- Proficiency with Git and CI/CD tools.
- Understanding of distributed systems and cloud-native architecture.

Job Summary:
We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.
Key Responsibilities:
- Assist in the design, development, and maintenance of scalable and efficient data pipelines.
- Write clean, maintainable, and performance-optimized SQL queries.
- Develop data transformation scripts and automation using Python.
- Support data ingestion processes from various internal and external sources.
- Monitor data pipeline performance and help troubleshoot issues.
- Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
- Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
- Document technical processes and pipeline architecture.
Core Skills Required:
- Proficiency in SQL (data querying, joins, aggregations, performance tuning).
- Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
- Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
- Understanding of relational databases and data warehouse concepts.
- Familiarity with version control systems like Git.
Preferred Qualifications:
- Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
- Familiarity with data modeling and data integration concepts.
- Basic knowledge of CI/CD practices for data pipelines.
- Bachelor’s degree in Computer Science, Engineering, or related field.

· 7+ years of professional experience in front-end development.
· 7+ years of hands-on experience with React.js and its ecosystem (Redux, Context API, Hooks, etc.).
· Strong understanding of JavaScript (ES6+), HTML5, and CSS3.
· Experience with RESTful APIs, GraphQL, and WebSocket integration.
· Proficiency in modern build tools (Webpack, Vite, Babel, etc.).
· Expertise in state management libraries (Redux, MobX) and React Query.
· Solid understanding of UI/UX principles and responsive design.
· Experience with testing frameworks (Jest, React Testing Library, Cypress, etc.).
· Familiarity with modern CI/CD pipelines and version control tools (Git).

Job Description: Data Engineer
Position Overview:
Role Overview
We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.
Key Responsibilities
· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.
· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).
· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.
· Ensure data quality and consistency by implementing validation and governance practices.
· Work on data security best practices in compliance with organizational policies and regulations.
· Automate repetitive data engineering tasks using Python scripts and frameworks.
· Leverage CI/CD pipelines for deployment of data workflows on AWS.
Required Skills and Qualifications
· Professional Experience: 5+ years of experience in data engineering or a related field.
· Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.
· AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:
· AWS Glue for ETL/ELT.
· S3 for storage.
· Redshift or Athena for data warehousing and querying.
· Lambda for serverless compute.
· Kinesis or SNS/SQS for data streaming.
· IAM Roles for security.
· Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.
· Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.
· DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.
· Version Control: Proficient with Git-based workflows.
· Problem Solving: Excellent analytical and debugging skills.
Optional Skills
· Knowledge of data modeling and data warehouse design principles.
· Experience with data visualization tools (e.g., Tableau, Power BI).
· Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
· Exposure to other programming languages like Scala or Java.
Education
· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Why Join Us?
· Opportunity to work on cutting-edge AWS technologies.
· Collaborative and innovative work environment.
Job Description below :
Required Skills
BSc/B.E./B.Tech in Computer Science or an equivalent field.
5+ years' solid commercial experience in software development using experience using Java8, Spring boot, Hibernate, Spring Cloud and related frameworks.
Experience with Angular 8+ versions, B.J‹JS 6, IS/TypeScript
Knowledge of HTML/CSS
Good understanding of Design Patterns
Proficiency with SQL database development, including data modelling and DB performance tuning
Ability to work with customers, gather requirements and create solutions independently
Active participation within and among teams and colleagues distributed globally
Excellent problem-solving skills, in particular a methodical approach to dealing with problems across distributed systems.
Agile development experience
Desired Skills
Experience with angular forms
Experience with dynamic forms/ dynamic angular components
Experience with java Spring boot
Knowledge of Kafka Stream Processing
Understanding of secure software development concepts, especially in a cloud platform
Good communication skills.
Strong organizational skills.
Understanding of test management and automation software (e.g. ALM, Jira, JMeter).
Familiarity with Agile frameworks and Regression testing.
Previous experience within the Financial domain.
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Total Experience
Current CTC
Expected CTC
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- Experience in Core Java, CXF, Spring.
- Experience in spring boot, microservices.
- Extensive experience in developing enterprise-scale n-tier applications for the financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
- Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
- Good development experience with RDBMS, preferably Sybase database
- Good knowledge of multi-threading and high volume server side development
- Experience in sales and trading platforms in investment banking/capital markets
- Basic working knowledge of Unix/Linux
- Excellent problem solving and coding skills in Java
- Strong interpersonal, communication and analytical skills.
- Should have the ability to express their design ideas and thoughts.

At least 5 years of experience in testing and developing automation tests.
A minimum of 3 years of experience writing tests in Python, with a preference for experience in designing automation frameworks.
Experience in developing automation for big data testing, including data ingestion, data processing, and data migration, is highly desirable.
Familiarity with Playwright or other browser application testing frameworks is a significant advantage.
Proficiency in object-oriented programming and principles is required.
Extensive knowledge of AWS services is essential.
Strong expertise in REST API testing and SQL is required.
A solid understanding of testing and development life cycle methodologies is necessary.
Knowledge of the financial industry and trading systems is a plus
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven 3+ Years experience in automation testing for web and backend applications.
- Must have experience with API testing tools - RestAssured.
- Strong knowledge of automation testing frameworks (e.g., Cypress, Playwright, Protractor).
- Familiarity with programming languages such as Java, Python, or JavaScript.
- Understanding of basic SQL queries to validate data in the databases
- Understanding of CI/CD processes and tools (e.g., Jenkins, GitLab CI).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Prior experience with trading applications or core financial services related applications is a big plus
Minimum 3+ Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Fork joins pool and other threading concepts)
· Good knowledge of the JVM with an understanding of performance and memory optimization.
· Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).
· Excellent knowledge on collections like, Array List, Vector, LinkedList, HashMap, Hash Table, HashSet is mandate.
· Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.
· Expert level understanding of Object-Oriented Concepts and Data Structures
· Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

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