Top Data Engineer Jobs in Chennai

The Principal Data Engineer supports and operates Oracle and MongoDB Atlas platforms, ensuring operational stability, troubleshooting, and performance optimization in cloud-based environments.

Support and operate SQL Server and MongoDB Atlas platforms, ensuring performance and reliability in a 24/7 production environment, including troubleshooting and incident management.

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

The Principal Data Engineer will lead the design and development of data platforms and cost optimization strategies while ensuring data quality, security, and compliance. Responsibilities include managing databases, building ETL pipelines, and influencing stakeholders across the organization.

Manage and lead data and analytics engineering to build scalable solutions, oversee data integrity, optimize workflows, and ensure compliance with data regulations.

The role involves designing and implementing data architectures, managing data pipelines, ensuring data quality, and developing analytics solutions to drive business insights.

The role involves developing and enhancing Business Intelligence solutions using SQL Server, SSIS, and related BI technologies, mentoring junior engineers, and ensuring high-quality standards through testing and collaboration.

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.

We are seeking a Senior PySpark Developer Data Engineer with extensive experience in data pipeline development, machine learning, and programming in Python and Spark. The candidate will lead data-driven projects, ensuring robust and clean code delivery, working collaboratively with teams and stakeholders.

Design, develop, maintain data solutions; create data pipelines, ensure data quality, and implement ETL processes for data deployment.

As a Data Engineer, you'll design and maintain data solutions, create data pipelines, and implement ETL processes to ensure data quality across systems.

As a Data Engineer, you will design, develop, and maintain data solutions for data generation, processing, and quality assurance, including the implementation of ETL processes and building data pipelines.

As a Data Engineer, you will design and maintain data solutions, create pipelines, ensure data quality, and implement ETL processes. You'll collaborate with teams on data requirements and optimize data processes.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for data migration.

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

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

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes across systems.

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

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

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

Responsible for expanding and optimizing data pipelines, supporting data needs of multiple teams, and redesigning data architecture for fraud detection and prevention.

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 Data Engineer will design and improve software, ensure high-quality delivery, collaborate with teams, and adhere to secure coding practices.

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.