4,051 big data developer jobs in India.

... Development. Strong understanding of web development frameworks and libraries. Experience with RESTful APIs and microservices architecture. Familiarity with database management systems and SQL. Knowledge of version control systems, particularly Git. Additional Information: The candidate should have minimum 3 years of experience ...

... with Research and Modeling teams, with a primary mandate on engineering, data quality, scalability, and production readiness. We are seeking a self-motivated Data Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support ...

... transactional safety or strategically denormalizing for analytical efficiency. Relational Design: Deep expertise in relational database design (e.g., PostgreSQL, BigQuery, Cloud SQL). Documentation & ERD: Proven ability to document strict data dictionaries and generate precise ERD diagrams. Data Boundaries: Strong understanding ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Analytics ...

... PySpark for large-scale data processing - Working experience with Databricks (Delta Lake, Unity Catalog, notebooks) - Exposure to AI/ML data pipelines — vector databases, embeddings, or RAG architecture is a plus - Experience with cloud data platforms (Azure Data Factory, AWS Glue, or equivalent) - Understanding of data modeling, ...

... looking for a Full Stack Engineer with a backend focus, building services in Java and Spring Boot alongside an Angular frontend. This person is comfortable moving database-centric designs toward domain-driven structures and building RESTful APIs with clean, modern patterns. Strong SQL and relational database skills are essential. ...

Big Data

... optimization and performance tuning experience Data Engineering: Experience with data orchestration platforms (Airflow, Azure Data Factory, SSIS, or similar) Big Data: Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks Cloud Platforms: Hands-on experience with Azure, AWS, or GCP data services ...

... with SQL, Data Modeling, ETL/Data Warehousing concepts. - Knowledge of API-based and batch integrations. - Experience integrating Varicent with CRM, ERP, and Data Platforms. - Strong analytical, problem-solving, and stakeholder management skills. About NTT DATA NTT DATA is a $30 billion business and technology services ...

Designs and develops data models and data pipelines to enable efficient data collection and processing from diverse data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity ...

... building the processes for measuring data quality, data transmission failures, and data load errors. In addition to this, you will be expected to work with report developers to create dashboards and reports showcasing the data quality. Translate data requirements for new data quality controls and thresholds into technical designs ...

Role Summary: We are seeking a highly skilled Data Engineer specializing in AWS and Databricks. The ideal candidate will design, build, and maintain scalable data pipelines, ensuring efficient data ingestion, processing, and integration from multiple sources—including Google Analytics event data. This role requires deep ...

... looking for a Full Stack Engineer with a backend focus, building services in Java and Spring Boot alongside an Angular frontend. This person is comfortable moving database-centric designs toward domain-driven structures and building RESTful APIs with clean, modern patterns. Strong SQL and relational database skills are essential. ...

... speed and long-term maintainability Drive a results oriented tech team with help of your expertise in technical sales engineering in cloud computing environment, big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). Architect, design and build integrations between cloud contact ...

Responsible for conducting data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling ...

Job Title / Primary Skill: Full Stack Developer Years of Experience: 1 to 8 years Job Location: PAN India (Hybrid) Must Have Skills: Full Stack, https://jobeax.com/link/6WcBICn0LM558SP0, https://jobeax.com/link/JSd7UYCSg572jJDY, JavaScript / Typescript, AWS/Azure. Educational Qualification: BE/BTech/ MTech/ MCA (Minimum ...

... and deployment automation. Practical experience integrating Gen AI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts like Retrieval-Augmented Generation (RAG) and Vector databases. (Note: We need software builders, not Machine Learning researchers). Practical ...

Ensure the deliverables from the Development is of high quality Develop new features to meet the needs of Enterprise and Operations teams. com/link/GrYTXLZMpxEMJknV MVC and related web and Windows development technologies

... using Python (e.g., REST APIs, flat files, database connectors). Support deployment, monitoring, and maintenance of applications in production. Collaborate with data engineers, analysts, and application developers to deliver data-driven solutions. Proficient in Oracle and PostgreSQL database administration, with strong skills ...

... Integrate Salesforce with ERP, CRM, middleware, and other enterprise applications using REST/SOAP APIs and other integration technologies.- Design and implement data models, validation rules, automation, security, and sharing mechanisms.- Work with Salesforce objects, relationships, reports, dashboards, and data migration ...