Top Data Engineer Jobs in Chennai

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

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

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

The Data Engineer will design, build, and maintain data pipelines, manage transformation workflows using dbt, write SQL queries, and utilize AWS services like Airflow and Glue while collaborating with stakeholders.

This role involves building and implementing application systems, conducting feasibility studies, and providing operational support while also guiding junior analysts and ensuring compliance with standards.

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

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

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for AI-driven retail solutions.

Design, develop, and maintain data solutions, create data pipelines, implement ETL processes, and lead AI-driven engineering solutions using various cloud platforms.

The role involves enhancing application systems, providing solutions, consulting with clients, and analyzing vulnerabilities in applications while advising lower-level analysts and ensuring compliance with regulations.

As a Data Platform Engineer, assist with the data platform design, collaborate with architects, and ensure data integration and workflow optimization.

The role involves participating in data engineering tasks, supporting data pipeline development, collaborating on data projects, and learning data engineering fundamentals.

Design and implement production-grade Agentic AI platforms, develop data engineering solutions with Python, and optimize AI agent performance. Collaborate with teams to solve complex business challenges.

The Data Engineer designs, develops, and maintains data solutions, conducts data analysis, ensures data quality, and implements ETL processes.

The Data Engineer will create and maintain data pipelines, optimize data delivery, build analytics tools, and support cross-functional teams with data infrastructure needs.

Design, develop, and maintain data solutions for data generation, processing, and quality. Create data pipelines and implement ETL processes.

As a Data Engineer, design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes. Collaborate with teams, mentor junior members, and improve data processes.

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

The Data Engineer role involves developing ETL pipelines, implementing data transformations, and ensuring data availability for analytics and reporting.

The Data Engineer role involves creating data flows, managing dependencies, improving CI/CD pipelines, and deploying data models in a collaborative Machine Learning team setting.

The Data Engineer will develop data pipelines and workflows, manage storage solutions, and ensure data quality for the AI platform at TaskUs.

Lead the design and implementation of ETL processes, develop Python solutions, and create data visualizations, collaborating with cross-functional teams.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

Develop and maintain scalable data pipelines, optimize workflows, manage cloud storage, ensure data security, and collaborate across teams.

The role involves developing and maintaining data pipelines, optimizing workflows, managing cloud storage, and ensuring compliance with data security standards.