Top Data Engineer Jobs in Chennai

The Data Engineer will design and maintain data pipelines, optimize data warehousing, and ensure data quality and governance while collaborating with cross-functional teams.

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 data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

As a Data Engineer, you'll build data products, optimize data processes, and support stakeholders with data-related needs using GCP services.

The Software Engineer will support data collection for AI model training, manage ingestion pipelines on GCP, and work on developing large-scale datasets.

The Senior Associate Data Engineer develops structured data sets, transforms data, creates ETL packages, and supports analytics and modeling for business data requirements.

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

The Senior Data Engineer designs and maintains data pipelines and infrastructure, collaborates on AI-enabled analytics, and mentors junior engineers while ensuring data integrity and efficiency.

The Lead Data Engineer will develop and maintain data engineering solutions using Azure technologies, focusing on advanced data workflows 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.

The Senior Associate Data Engineer develops structured data sets for analysis, creates ETL processes, and designs data models to support analytics needs, collaborating with various stakeholders for data requirements and improvements.

The role involves developing and enhancing application systems, analyzing data vulnerabilities, consulting with users, and guiding lower-level analysts while ensuring compliance and system performance.

The Data Engineer will design and maintain data pipelines, optimize workflows, ensure data quality, and implement CI/CD practices using AWS and other tools.

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.

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.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

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

Design and develop scalable applications on Azure, collaborating with teams to meet business needs while mentoring junior engineers and ensuring cloud security.

This role designs and implements data systems, ensuring data quality and project management while mentoring junior engineers and collaborating with stakeholders.

Lead complex data engineering projects, developing advanced data architectures and pipelines, while collaborating with leadership to drive data-driven business growth and ensure compliance with regulations.

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.

Lead the design and implementation of complex data systems, ensuring data quality while mentoring junior engineers and optimizing engineering processes.

Design, develop, and maintain AWS-based data pipelines, ensuring data quality and governance. Collaborate with data scientists for analytics and AI/ML projects.

The Lead Data Engineer will focus on Azure Data Engineering, utilizing skills in AKS, Event Hub, Cosmos DB, and Azure DevOps to design and implement data solutions.

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.