Top Data Engineer Jobs in Chennai

Develop and optimize AI models and algorithms while engineering data solutions in a collaborative environment to improve healthcare outcomes.

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

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

Develop and maintain data sources, migrate Hive tables to Unity Catalog, collaborate with IT for data validation, and implement data quality systems and dashboards for airport performance insights.

Perform and build core data products, promote data-driven culture, establish a single source of truth in metrics, and support data-related needs.

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.

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.

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

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

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 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 Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

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

Design and maintain scalable data pipelines, implement data solutions using Snowflake, write Python code, and collaborate with stakeholders to deliver data solutions.

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 Data Engineer II will design and implement data pipelines, manage data architecture, and collaborate with teams to deliver analytics solutions.

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

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

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

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.