Top Data Engineer Jobs in Chennai

Support and operate SQL Server and MongoDB Atlas platforms, ensuring performance and reliability in a 24/7 production environment, including troubleshooting and incident management.

The Principal Data Engineer supports and operates Oracle and MongoDB Atlas platforms, ensuring operational stability, troubleshooting, and performance optimization in cloud-based environments.

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

This role focuses on building enterprise metrics in Looker, optimizing LookML models, SQL performance, and enabling self-service solutions for business users.

The Data Ops Engineer will lead the design and operation of data platforms, ensuring data reliability, quality, and observability for AI analytics and engineering solutions. Responsibilities include CI/CD automation, data governance, and coaching engineering teams.

Design, develop and maintain data solutions for data generation, collection, and processing. Implement ETL processes and create data pipelines to ensure data quality.

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

Design and develop scalable data pipelines using Microsoft Fabric and Azure ecosystem. Collaborate with BI developers, ensure data quality, and optimize data workflows.

The Data Engineer designs, develops, and maintains data solutions, conducts data analysis, ensures data quality, and implements ETL processes.

The Data Engineer designs, develops, and maintains data solutions, including data pipelines and ETL processes, ensuring data quality and operational efficiency.

The FDC Data Engineer will implement an FDC framework in semiconductor manufacturing, focusing on process monitoring, data extraction, and collaboration with engineering teams.

The Data Engineer will design, build, and maintain data pipelines, manage transformation workflows using dbt, write SQL queries, and utilize AWS services like Airflow and Glue while collaborating with stakeholders.

This role involves building and implementing application systems, conducting feasibility studies, and providing operational support while also guiding junior analysts and ensuring compliance with standards.

The role involves enhancing application systems, providing solutions, consulting with clients, and analyzing vulnerabilities in applications while advising lower-level analysts and ensuring compliance with regulations.

Seeking a Principal Data Engineer to design and develop cloud data platforms, lead engineering initiatives, and deliver high-performance data solutions for customer analytics.

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

The Data Engineer will develop data pipelines and workflows, manage storage solutions, and ensure data quality for the AI platform at TaskUs.

Lead the design and implementation of ETL processes, develop Python solutions, and create data visualizations, collaborating with cross-functional teams.

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 Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.

The Senior Account Manager leads BI projects, ensuring design, development, testing, and deployment. They collaborate with clients and teams to deliver reporting solutions and develop dashboards and data models.

The Data Engineer role involves data management, system design, and collaboration with teams to implement effective data solutions.

Lead business intelligence projects through the development life cycle, focusing on architecture, solution design, client engagement, and dashboard development.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

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