Top Data Engineer Jobs in Chennai

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

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

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

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.

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.

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.

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

The Data Engineer II role involves building scalable ETL pipelines, reporting, and managing data workflows using tools like Python, Azure, and BI tools such as Power BI.

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 architect data models and build ETL pipelines for data infrastructure and analytics, collaborating with stakeholders and leading technical initiatives.

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 Sr. Big Data Engineer will design, develop, and maintain scalable data extraction frameworks and ETL/ELT pipelines, optimizing data processing systems while collaborating with cross-functional teams.

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

Design and maintain scalable data pipelines for complex datasets, enhance data processing systems, and collaborate across teams to ensure data quality and performance optimization.

Lead the analysis and design of data solutions, manage delivery, mentor a team, and engage stakeholders, utilizing SQL and Power BI.