Top Data Engineer Jobs in Chennai

As a Data Engineer II at Atlassian, you will build and maintain data pipelines, assist in ingesting data into a data lake, and support growth strategies through efficient data engineering solutions.

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.

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

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

Interns will work on relevant projects in a dynamic environment, receiving mentorship and developing skills in data engineering over a 10-week program.

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

As an Azure Data Engineer, you will build and maintain data platforms, develop data pipelines, manage data lakes, and ensure security and compliance.

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

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

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.

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.

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

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.

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

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

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

As a Software Engineer, you will develop data systems for customer acquisition, collaborate with marketing teams, and enhance analytics tools for campaign optimization.

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 Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.