Top Data Engineer Jobs in Chennai

The Azure Data Engineer will design and maintain data pipelines, optimize data workflows, and ensure system performance, leveraging Azure technologies.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

The Senior Data Engineer is responsible for designing and maintaining scalable ETL pipelines across Hadoop and AWS, optimizing data workflows, and providing technical leadership. The role requires collaboration with stakeholders to ensure data quality and compliance across hybrid data platforms.

The Senior Data Engineer designs scalable data pipelines and models, implements cloud-native applications on AWS, and ensures production-quality data systems using best practices.

As a Data Engineer, you will design and implement big data technologies, manage data pipelines, and analyze data to facilitate informed decision-making.

As a Cloud Engineer, you will design and maintain cloud-based data processing systems using Golang and Python, and support AWS and Kubernetes environments.

The Big Data Developer will analyze applications, develop enhancements, conduct testing, and coach junior analysts, focusing on Pyspark and Oracle integration.

The Data Engineer will lead the creation and maintenance of the company's data infrastructure, build reporting capabilities, and develop data-driven automation pipelines.

Design and implement critical processes for a subscription billing system while collaborating with cross-functional teams. Requires expert SQL skills and familiarity with various databases and DevOps methodologies.

The Technology Engineer will design, implement, and optimize DevOps and data platform solutions, focusing on CI/CD, containerization, big data, and distributed systems, while ensuring security and compliance.

The Lead Test Engineer will manage testing teams, ensure application quality standards, develop test plans, and lead automation testing strategies.

As a Senior Data Engineer, you will architect system migration to Oracle Cloud, integrate AI/ML solutions, and lead data quality initiatives.

Seeking a Senior Data Engineer to design and maintain data pipelines for the Risk & Compliance domain using PySpark and Python, ensuring data integrity and security while collaborating with cross-functional teams.

The Lead Data Engineer will design and implement data architectures, manage data pipelines and integration solutions, ensure data quality, and provide mentorship to junior members while collaborating with stakeholders on data requirements and reporting.

The Senior Data Engineer designs and maintains data ingestion and transformation pipelines, ensuring data quality and performance for analytics and BI.

Design and maintain scalable ETL processes and data pipelines with Hadoop and Spark. Collaborate with data scientists, ensure data quality, and optimize big data solutions.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The Lead Data Engineer will oversee data engineering projects, utilizing Azure services and ensuring efficient data processing and management.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

The Principal Developer will lead the design, development, and maintenance of application and data integrations using various tools, ensuring high-quality solutions and collaboration across teams.

The Data Platform Engineer will design and maintain data platforms, ensuring reliability and efficiency while collaborating with cross-functional teams to fulfill product and analytics needs.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

Configure and administer Collibra for data governance, integrate with enterprise systems, support data traceability, and enhance data quality.

Design, develop and maintain data ingestion and transformation pipelines, optimize data architectures, manage data sources, and collaborate with teams on data analytics and ML datasets.