Top Data Engineer Jobs in Chennai

This role focuses on building enterprise metrics in Looker, optimizing LookML models, SQL performance, and enabling self-service solutions for business users.

This role manages data engineering efforts by designing data models, building pipelines, and collaborating with teams on operational best practices and AI integration.

As a Data Engineer, you will work with GCP technologies, managing big data, utilizing ETL/ELT processes, and collaborating across teams while advancing in your career.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

The Data Engineer will work on GCP services and handle big data through ETL processes, employing strong problem-solving skills and analytical abilities.

Design, develop, and maintain high-performance ETL solutions using SSIS and T-SQL; integrate diverse data sources; use C# and Regex for transformations; monitor QA/UAT/Production ETL jobs; implement data quality and DevOps pipelines; collaborate with stakeholders and improve ETL best practices.

Design, build, and operate scalable ETL/ELT pipelines using PySpark and AWS data services. Orchestrate workflows with Apache Airflow, implement AWS Glue jobs and Data Catalog, manage Lake Formation permissions, publish datasets for BI, and deliver QuickSight visualizations while ensuring data quality and performance.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure quality, and implement ETL processes. Collaborate with teams to meet data needs and enhance workflow efficiency.

As a Data Engineer, you will develop and maintain data solutions, create data pipelines, ensure quality, and implement ETL processes.

The Data Engineer Intern will gain real-world experience in data analytics, platform design, data ingestion, and visualization over a 10-week program, while also receiving mentorship and performance feedback.

As a Data Engineer, design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

The Python Data Engineer designs and optimizes data pipelines and ETL processes, ensuring data quality and collaborating with teams to deliver data solutions.

The Python Data Engineer is responsible for designing and developing data pipelines, ensuring data quality, collaborating with data teams, and optimizing database performance.

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

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

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 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, develop, implement and maintain Big Data solutions for Disability & Absence products. Build batch, speed, and serving layers using Spark, Hive, NoSQL, SOLR and Kafka; optimize Hadoop jobs; automate with Shell/Python; support deployments, CI/CD, runbooks, and cross-team collaboration.

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

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.

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.