Top Data Engineer Jobs in Chennai

Lead Data Engineer responsible for developing and operating scalable data pipelines, mentoring engineers, and optimizing data solutions in a collaborative agile team.

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 III, you will design, develop, and maintain data infrastructure and pipelines, ensuring the smooth flow of high-quality data. Responsibilities include collaborating with teams to optimize workflows, monitoring data pipelines, and implementing governance measures.

Collaborate with teams to implement technology solutions, lead projects, manage diverse teams, and develop big data platforms using AWS and ETL pipelines.

Design, develop, and maintain data infrastructure and pipelines, ensuring data integrity and collaboration with teams for analysis and reporting.

As a Data Engineer III, you'll design and maintain cloud-based big data infrastructure, implement data models and ETL pipelines, and mentor team members while ensuring data integrity and quality.

The Data Engineer will develop data solutions, manage ETL processes, design data warehouses, and create Power BI reports for insights.

The Data Engineer designs and maintains scalable ELT pipelines and collaborates with BI teams to ensure data integrity and support business intelligence needs.

The Data Engineer III will develop and maintain cloud-based data infrastructure, manage data architectures, optimize data pipelines, and ensure system reliability and security.

The Data Engineer will design, implement, and maintain data pipelines and ETL processes while optimizing data workflows for quality and reliability.

The Senior Data Engineer will design and implement data ingestion processes, develop scalable data pipelines, and collaborate with teams to integrate data sources.

The Senior Data Engineer will architect systems, manage complex projects, mentor engineers, and enhance data engineering practices within the organization.

As a GCP Data Engineer, you'll support BI initiatives for EMEA, optimize data processing in GCP, and communicate with stakeholders. Responsibilities include designing ETL processes, troubleshooting data pipelines, and collaborating in an agile environment.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

The Data Engineer will produce quality data models, gather data requirements, ensure data quality, and support integration efforts in the healthcare domain.

The role involves designing and developing data solutions using Databricks, focusing on data pipeline architecture, optimization, and reporting.

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Build infrastructure tools for trading, optimize data delivery, implement process improvements, ensure data monitoring and reporting, and write efficient code.

As a Data Engineer, you will create and maintain data pipelines, support data scientists, and design data solutions on cloud platforms.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

The Data Engineer will design and maintain data pipelines and infrastructure, collaborate with teams, and ensure data accuracy for client solutions.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Responsible for transforming data into a structured format for analysis, developing scalable ETL packages, and creating data models to meet business analytics needs.

Design and optimize data infrastructure and pipelines, develop ETL processes, and provide mentorship to junior engineers while collaborating with data analysts.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.