13+ Data extraction Jobs in India

As a Solution Architect, you will collaborate with our sales, presales and COE teams to provide technical expertise and support throughout the new business acquisition process. You will play a crucial role in understanding customer requirements, presenting our solutions, and demonstrating the value of our products.

You thrive in high-pressure environments, maintaining a positive outlook and understanding that career growth is a journey that requires making strategic choices. You possess good communication skills, both written and verbal, enabling you to convey complex technical concepts clearly and effectively. You are a team player, customer-focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You must have experience in managing and handling RFPs/ RFIs, client demos and presentations, and converting opportunities into winning bids. You possess a strong work ethic, positive attitude, and enthusiasm to embrace new challenges. You can multi-task and prioritize (good time management skills), willing to display and learn. You should be able to work independently with less or no supervision. You should be process-oriented, have a methodical approach and demonstrate a quality-first approach.

Ability to convert client’s business challenges/ priorities into winning proposal/ bid through excellence in technical solution will be the key performance indicator for this role.

What you’ll do

• Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions.
• Technology Evaluation: Select appropriate technologies, frameworks, and platforms for business needs.
• Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP.
• Integration: Ensure seamless integration between various enterprise applications, APIs, and third-party services.
• Design and develop scalable, secure, and performant data architectures on Microsoft Azure and/or new generation analytics platform like MS Fabric.
• Translate business needs into technical solutions by designing secure, scalable, and performant data architectures on cloud platforms.
• Select and recommend appropriate Data services (e.g. Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Power BI etc) to meet specific data storage, processing, and analytics needs.
• Develop and recommend data models that optimize data access and querying. Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes.
• Ability to understand Conceptual/Logical/Physical Data Modelling.
• Choose and implement appropriate data storage, processing, and analytics services based on specific data needs (e.g., data lakes, data warehouses, data pipelines).
• Understand and recommend data governance practices, including data lineage tracking, access control, and data quality monitoring.

What you will Bring 

• 10+ years of working in data analytics and AI technologies from consulting, implementation and design perspectives
• Certifications in data engineering, analytics, cloud, AI will be a certain advantage
• Bachelor’s in engineering/ technology or an MCA from a reputed college is a must
• Prior experience of working as a solution architect during presales cycle will be an advantage

Soft Skills

• Communication Skills
• Presentation Skills
• Flexible and Hard-working

Technical Skills

• Knowledge of Presales Processes
• Basic understanding of business analytics and AI
• High IQ and EQ

Why join us?

• Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• Gain hands-on experience in content marketing with exposure to real-world projects.
• Opportunity to learn from experienced professionals and enhance your marketing skills.
• Contribute to exciting initiatives and make an impact from day one.
• Competitive stipend and potential for growth within the company.
• Recognized for excellence in data and AI solutions with industry awards and accolades.

What We’re Looking For

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role

Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment

Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.

Experience working with natural language processing (NLP) or computer vision is highly desirable.

Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.

Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.

Familiarity with data architecture, data engineering, and data pipeline tools.

Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.

Knowledge of the insurance sector is beneficial but not required.

Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.

What You’ll Be Doing

Algorithm Development:

Design and implement advanced machine learning algorithms tailored for our datasets.

Model Creation:

Build, train, and refine machine learning models for business integration.

Collaboration:

Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.

Industry Innovation:

Stay updated with Insurtech trends and ensure our solutions remain at the forefront.

Validation:

Test algorithms for accuracy and efficiency, collaborating with the QA team.

Documentation:

Maintain clear records of algorithms and models for team reference.

Professional Growth:

Engage in continuous learning and mentor junior team members.

Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".

Only applications received via email will be reviewed. Applications through other channels will not be considered.

Position Overview

We are seeking an experienced SAP Cutover/Data Migration Consultant with over 5 years of expertise in managing end-to-end cutover activities and data migration processes in SAP implementation or upgrade projects. The ideal candidate will have a deep understanding of SAP data structures, migration tools, and methodologies, along with exceptional project management and collaboration skills.

Key Responsibilities :

Cutover Planning and Execution

Develop detailed cutover plans, including timelines, dependencies, roles, and responsibilities.

Coordinate with business, technical, and functional teams to ensure seamless execution of cutover activities.

Identify risks and develop mitigation strategies for a smooth transition to the production environment.

Execute and monitor the cutover plan during go-live, ensuring minimal business disruption.

Data Migration Management

Lead the end-to-end SAP data migration process, including extraction, transformation, cleansing, validation, and loading.

Work closely with business stakeholders to define data migration scope, strategies, and rules.

Develop and execute data mapping and transformation scripts using tools like LSMW, BODS, or SAP Migration Cockpit.

Ensure data quality and integrity by performing rigorous testing and validation activities.

Testing and Validation

Collaborate with functional and technical teams to define and execute data migration test plans.

Perform mock migrations, reconciliation, and post-load validation to ensure successful data loads.

Resolve data discrepancies and provide root cause analysis during testing phases.

Documentation and Reporting

Prepare and maintain detailed documentation, including cutover plans, data migration scripts, and issue logs.

Provide regular status updates to project stakeholders on cutover and migration progress.

Stakeholder Collaboration

Act as a liaison between business users, technical teams, and project managers to ensure alignment of migration activities.

Conduct workshops and training sessions for business users on data readiness and cutover processes.

Required Skills & Qualifications

Education: Bachelor’s degree in Computer Science, Information Technology, or related field.

Experience: Minimum 5+ years of experience in SAP cutover planning and data migration.

Technical Skills:

Expertise in SAP data migration tools such as LSMW, SAP BODS, SAP Data Migration Cockpit, or custom ETL tools.

Strong knowledge of SAP modules (e.g., SD, MM, FICO) and their data structures.

Proficiency in data extraction, transformation, and loading techniques.

Experience with S/4HANA migrations and understanding of HANA-specific data structures (preferred).

Hands-on experience in managing legacy system data extraction and reconciliation processes.

Soft Skills:

Strong analytical, organizational, and problem-solving skills.

Excellent communication and interpersonal skills to collaborate with cross-functional teams.

Ability to manage multiple priorities and deliver within tight timelines.

Preferred Certifications:

SAP Certified Application Associate – Data Migration.

SAP Activate Project Manager Certification (preferred).

Skills & Requirements

Cutover planning, execution, SAP data migration, LSMW, SAP BODS, SAP Migration Cockpit, ETL tools, SAP SD, SAP MM, SAP FICO, data extraction, data transformation, data loading, S/4HANA migration, HANA data structures, Legacy system data reconciliation, Analytical skills, Communication skills.

Location: Hyderabad, Hybrid

We seek an experienced Lead Data Scientist to support our growing team of talented engineers in the Insurtech space. As a proven leader, you will guide, mentor, and drive the team to build, deploy, and scale machine learning models that deliver impactful business solutions. This role is crucial for ensuring the team provides real-world, scalable results. In this position, you will play a key role, not only by developing models but also by leading cross-functional teams, structuring and understanding data, and providing actionable insights to the business.

What We’re Looking For

● Proven experience as a Lead Machine Learning Engineer, Data Scientist, or a similar role, with extensive leadership experience managing and mentoring engineering teams.

● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.

● Demonstrated success in leading teams that have designed, deployed, and scaled machine learning models in production environments, delivering tangible business results.

● Expertise in machine learning algorithms, deep learning, and data mining techniques, ideally in an enterprise setting.

● Hands-on experience with natural language processing (NLP) and data extraction tools.

● Proficiency in Python (or other programming languages), and with libraries such as Scikit-learn, TensorFlow, PyTorch, etc.

● Strong experience with MLOps processes, including model development, deployment, and monitoring at scale.

● Strong leadership and analytical skills, capable of structuring and interpreting data to provide meaningful business insights and guide decisions.

● A practical understanding of aligning machine learning initiatives with business objectives.

● Industry experience in insurance is a plus but not required.

What You’ll Be Doing

● Lead and mentor a team of strong Machine Learning Engineers, synthesizing their skills and ideas into scalable, impactful solutions.

● Have a proven track record in successfully leading teams in the development, deployment, and scaling of machine learning models to solve real-world business problems.

● Provide leadership in structuring, analyzing, and interpreting data, delivering insights to the business side to support informed decision-making.

● Oversee the full lifecycle of machine learning models – from development and training to deployment and monitoring in production environments.

● Collaborate closely with cross-functional teams to align AI efforts with business goals

and ensure measurable impacts.

● Leverage deep expertise in machine learning, data science, or related fields to enhance document interpretation tasks such as text extraction, classification, and semantic analysis.

● Utilize natural language processing (NLP) to improve our AI-based Intelligent Document Processing platform.

● Implement MLOps best practices, ensuring smooth deployment, monitoring, and maintenance of models in production.

● Continuously explore and experiment with new technologies and techniques to push the boundaries of AI solutions within the organization.

● Lead by example, fostering a culture of innovation and collaboration within the team while effectively communicating technical insights to both technical and non-technical stakeholders.

Candidates not located in Hyderabad will not be taken into consideration.

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

Role: HCM Oracle Cloud Implementation

JD:

Expereince in Data extraction from Oracle HCM EBS and Data load through HDL in Oracle HCM cloud

•            Experience on multiple full lifecycle Oracle Fusion ERP Cloud implementation projects or similar ERP/SaaS/in-house applications

•            Required to have at least 3 to 4 full life cycle implementation experience in Oracle Recruitment Cloud or similar Cloud products

•         Experience in configuring workforce compensation plans
•        Experience with creating compensation change statement and should be able to create security roles
•        Experience in HDL and fast formula

•            Experience working with global users and teams

•            Work with business users and identify business requirements, conduct CRP workshops, etc.

•            Work with offshore team

•            Confirm unit testing of reports, interfaces, data conversion and extensions (workflow, triggers, forms, etc.)

•            Support solution validation in the phases of SIT, UAT and Go Live

• Overall, 4-5 years of experience
• At least 3 years of HTML/CSS development experience is required
• Must have solid working experience on HTML5, CSS3, XML
• Should be an expert on XPath/Regex expressions for complex website navigations
• Working knowledge on core JavaScript
• Experience of mentoring the junior team members will be desirable
• Must have good communication skills

• Worked on Python, with knowledge of Scrapy framework & Beautiful Soup.
• Maintaining the running web crawlers full-stack application.
• Create more/better ways to crawl relevant information
• Builds and maintain new API integrations to support continuing increases in data volume and complexity
• Python Tech stack (Python library: Requests, Urllib, Beautifulsoup).
• Good communication skills.

We are Social.HR

An early-stage HR-Tech (SaaS) company. We aspire to be the leading self-driven career platform with intelligence. We are putting together a strong team of young individuals. The founders have the vision to create an intelligent, intuitive, and responsive career platform which gives you data-driven career insight and allows you to #BeTheBestYou

Who is?

An Intern will be our go-to person for all research and data-related aspects. You should be a hack who can get things done.

We Look for?

1. 1. Who is going to get hands dirty
2. An outside the box thinker
3. Who is not afraid to challenge the conventional wisdom
4. Moving decisively towards business goals
5. Flexible in managing work-life balance

Are you the right fit?

1. You are awesome at online research
2. You are driven to make documentation and audit look like a piece of cake
3. Full time must
4. Have graduated or finishing up the course

We offer