Top Data Engineer Jobs in Chennai

Design and maintain data pipelines, integrate data sources, develop ETL processes, and collaborate with data scientists to serve ML-ready datasets.

Lead the design and development of data pipelines and architectures, ensuring data quality and governance while mentoring junior engineers.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

The Data Automation Test Engineer will validate data migration and ETL processes while developing a QA framework, automation scripts, and collaborating with cross-functional teams.

The Senior QA Engineer will design and execute test plans for data validation and automated testing, ensuring data quality across systems, collaborating with teams, and communicating results.

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 role involves building and maintaining automated pipelines for data collection and cleaning from public sources, integrating scrapers with backend systems, and ensuring data accuracy and compliance with platform rules.

As a Software Engineer II - Data, you will design and develop data systems, focusing on APIs, analytics, and machine learning, ensuring reliability and performance across cloud environments.

As a Principal Software Engineer - Data, you will design and develop enterprise-grade data systems, driving development efforts, and collaborating with product and technical teams to deliver solutions.

Lead the design and development of complex data systems and pipelines, ensuring data quality and delivering innovative solutions for stakeholders.

Lead a team of data engineers, focusing on ETL/ELT, data warehousing, and machine learning. Drive engineering best practices and oversee project management.

The Data Engineer II designs and implements data pipelines, manages ETL processes, and optimizes SQL queries while mentoring junior engineers and ensuring data integrity.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Data Engineer II designs, codes, and manages data pipelines, ensuring data quality and working with stakeholders to deliver effective data solutions, while mentoring junior engineers.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Sr. AWS Data Engineer will design, implement, and manage AWS data solutions, collaborate with teams, and mentor junior engineers while ensuring data integrity and availability.

Lead software development and deployment in R and Python, manage CI/CD pipelines, oversee data strategy, and enhance performance optimization.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

You will write tests and automation for big data workflows, validate ingestion pipelines, and optimize cloud-scale data infrastructure in collaboration with Data Engineers.

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

The Software Engineer will architect and implement data warehouse solutions, focusing on data ingestion, API development, and scalable platforms.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.

The Data Migration Engineer is responsible for data analysis, migration script writing, execution, and documentation of data migration from legacy systems to Mitratech products, working with various stakeholders to ensure smooth transitions.