Top Data Engineer Jobs in Chennai

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

Develop and optimize RAG pipelines, fine-tune LLM models, contribute to ML and DL architectures, and implement evaluation frameworks.

Design, build and maintain cloud-based data pipelines and data products (Databricks/Delta Lake) across a multi-cloud environment. Implement DevOps/Infrastructure-as-Code, optimize workloads, ensure data quality via medallion architecture, collaborate globally, and apply DataOps and ITSM practices to enable scalable analytics and AI use cases.

Design and optimize scalable data platforms on GCP using Databricks, dbt, and Apache Airflow. Collaborate and mentor teams while ensuring data quality and performance.

The IT Data Engineer will develop and optimize ETL/ELT workflows, implement Lakehouse architecture, integrate Azure services, and oversee data governance practices, while supporting CI/CD and collaborating with stakeholders.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

Lead development and maintenance of Big Data solutions for Disability & Absence products, ensuring high-quality, efficient, and scalable applications.

Responsible for L2 technical support for data platforms, advanced troubleshooting, code-level fixes, and ensuring SLA compliance. Requires strong skills in Azure Data Factory, Databricks, SQL, and Python for performance tuning and data reliability.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

The role involves developing a cloud-based logistics analytics platform, implementing business logic in the data warehouse, designing ETL pipelines, optimizing data processes, and collaborating with stakeholders.

Design and deliver end-to-end cloud data solutions, lead discovery and technical design, build and optimize scalable ETL/ELT and real-time pipelines, implement CI/CD and IaC, develop observability and data quality, perform performance tuning and root-cause analysis, and advise customers while contributing to automation and thought leadership.

Lead end-to-end analytics including data extraction, statistical analysis and modeling, complex SQL development, BI dashboarding, cross-functional collaboration, mentoring junior analysts, ensuring data quality, and identifying process improvements to inform business decisions.

The Data Engineer will design and maintain data pipelines, support AI use cases, and collaborate with data teams to improve data quality and accessibility.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

The Data Engineer will design and maintain ETL pipelines, optimize data models, ensure data quality, and transform HR data into actionable insights for workforce decisions.

The Data Engineer designs and implements scalable data processes, manages data pipelines, assists data scientists, and supports the organization's cloud strategy while leading junior engineers.

Design, develop, and maintain applications using modern languages, build data pipelines, and deploy ML models on Azure. Collaborate with teams to drive projects from concept to production.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

As a Data Engineer, you will build and optimize data pipelines, collaborate with teams to deliver data solutions, and ensure data quality in cloud environments.

Lead technical projects within the data engineering team, architect systems, mentor junior engineers, and drive performance optimizations in a high-volume, cybersecurity-focused environment.

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

Join DEME's Data & Analytics Office as a Data Engineer to transform data into high-quality datasets, maintain data pipelines, and support insights for decision-making.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.