Top Data Engineer Jobs in Chennai

As a Data Engineering Manager, lead the development of data products, drive innovation using AI, and manage a team while collaborating across multiple teams.

The Manager, Quality - Business Data Engineer will lead data governance and management, support AI/ML initiatives, and ensure compliance in data solutions while collaborating with various stakeholders.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

As a Data Engineer, you will design, develop and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

The BI Data Engineer II manages SAP BI solutions, focusing on reporting, data accuracy, and collaboration with finance/accounting, ensuring high-quality deliverables.

As a Data Engineer VP, you will develop data-driven solutions, design pipelines, and support scalable data architecture while ensuring customer-centric decision-making.

The role involves developing data pipelines and migrations, supporting data loads in a collaborative agile environment, and enhancing data warehouses.

Lead the design and development of complex backend systems, focusing on architecture and implementation while mentoring engineers and integrating AI solutions.

The Data Engineer will create and maintain data pipelines, optimize data delivery, build analytics tools, and support cross-functional teams with data infrastructure needs.

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

The Azure Data Engineer role requires developing data engineering solutions using Azure technologies. Responsibilities include implementing data pipelines, performing data analysis, and collaborating with stakeholders on data-driven projects.

Design, develop, and maintain applications using modern languages, build data pipelines, and deploy ML models on Azure. Collaborate with teams to drive projects from concept to production.

Build and maintain data architectures and pipelines, design data lakes and warehouses, and collaborate with data scientists to develop solutions.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

Design, build, and oversee technology architectures for data management and programming leveraging cloud solutions and big data techniques. Collaborate with business partners to define data solutions and optimize processes.

Lead the development of scalable AI solutions for the International Commercial business, integrating software engineering and data science practices. Mentor junior members, oversee AI application development, and communicate insights to stakeholders to support data-driven decision-making.

The Data Engineer role involves designing and deploying ETL processes, managing data integrations from GA4 into BigQuery/Snowflake, optimizing data queries, and collaborating with stakeholders on data strategies.

As a Data Engineer, implement data pipelines and analytics solutions using AWS technologies, collaborating closely with Product Owners and AWS Architects.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The role involves designing and building advanced cloud-based data solutions using Azure technologies, participating in system integration projects, and leveraging Python and SQL for application development and data warehousing.

The role involves developing ETL solutions, managing data integration, ensuring data integrity, and collaborating with technical teams for data warehouse enhancements.

The Data Engineer I will build and maintain data pipelines, enhance data products, and support various analytics needs across Conde Nast's business areas.

The Data Engineer I will build and maintain data pipelines, work collaboratively with team members, and participate in the full software development lifecycle.

As a Senior Software Engineer on the Data Platform team, you'll design and build foundational data services, maintain data pipelines, and ensure security and observability across data systems.

The Data Engineer III will design and build ETL pipelines, data lakehouse solutions, and enhance data architecture while ensuring data quality and integrity.