Top Data Engineer Jobs in Chennai

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

The Lead Data Engineer will oversee data engineering projects, utilizing Azure services and ensuring efficient data processing and management.

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

Lead the design and development of data pipelines and architectures, ensuring data quality and governance while mentoring junior engineers.

As a Senior Cloud Engineer, you'll support and enhance Aptiv's cloud-based data processing infrastructure, focusing on automotive datalogger data with ETL pipelines and analytics.

As a Data Engineering Intern, you will design and develop data pipelines, integrate data sources, and maintain data workflows while collaborating with senior engineers.

Design and maintain scalable ETL/ELT pipelines, optimize data processes, collaborate with teams for analytics, and ensure data integrity.

Design and build AI data architecture and APIs with Python/Django; manage SQL, MongoDB and Pinecone vector databases; integrate and optimize AI models, context/prompt builders; collaborate with leadership and engineers; research AI/data engineering advancements.

The Senior Data Engineer will build and maintain data pipelines, ensure data accuracy, optimize performance, and collaborate with analysts for business intelligence solutions.

The Big Data Engineer will lead development in HFM, FDMEE mapping, and shared services. Responsibilities include SmartView utilization, application creation, metadata building and consolidations.

Design, build, and optimize scalable data pipelines and analytics solutions using Microsoft Fabric, PySpark, Python, and SQL. Collaborate with stakeholders, manage data governance, and ensure data quality in a Lakehouse architecture.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.

The Senior Data Engineer will design and optimize cloud-native data infrastructures, develop data pipelines for AI applications, and mentor team members.

Responsible for guiding teams in utilizing technology effectively, mentoring colleagues and devising advanced solutions to meet client challenges.

As a Senior Engineer in Data Analytics, you'll work on challenging problems using cutting-edge technology alongside talented colleagues to drive innovative solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Senior Data Engineer designs and maintains data ingestion and transformation pipelines, ensuring data quality and performance for analytics and BI.

Responsible for the design, development, and maintenance of big data architecture, implementing data processing pipelines, optimizing search capabilities, and managing code quality and best practices.

The Senior Engineer Data is responsible for designing, developing, and maintaining scalable ETL/ELT data pipelines and cloud-native data platforms while ensuring data quality and governance.

The Senior Data Engineer will develop and implement end-to-end technical solutions, ensuring performance and data integration across various cloud data platforms while collaborating with clients and creating documentation.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

The role involves designing data science solutions, mentoring team members, deploying models, and ensuring high-quality code. It requires strong analytical skills and the ability to communicate technical requirements effectively.

As a Principal Engineer for Data Infrastructure, you'll oversee our databases and data warehousing, optimize performance, and lead technology integrations to enhance data processing capabilities.