Top Data Engineer Jobs in Chennai

The Data Engineer will handle data mapping, extraction, transformation, and quality checks, collaborating with stakeholders to ensure data integrity and deliver solutions.

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.

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

As a Data Platform Engineer, you will collaborate with architects to design and optimize data pipelines and ensure data accuracy and availability.

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

Responsible for loading client data, developing and deploying ETL processes using SQL Server, SSIS, and ADF, while ensuring compliance and resolving data issues.

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.

Manage AI and data architecture initiatives, leading cloud-scale data solutions and AI engineering for enterprise data products, while enhancing technical standards and collaborating with stakeholders.

As a Data Engineer, you will build data solutions, maintain scalable architectures, perform data transformations, and collaborate with teams to enhance data usage.

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

As a Data Engineer at VP level, you'll create data-driven solutions, drive customer experiences, develop data pipelines, and deliver scalable architecture.

The Data Engineer III will develop and support data pipelines, work on data migrations, optimize SQL queries, and collaborate with stakeholders. Responsibilities include writing documentation, following best practices, and participating in Agile processes.

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

Design and develop ETL pipelines, optimize data architecture, collaborate with data scientists to prepare data, and validate data quality.

The role involves analyzing large datasets, developing AI models, mentoring junior staff, and creating data visualizations to drive business decisions.

The Data Engineer designs and develops data pipelines for storage and processing, optimizes data integration, and collaborates with analysts on data models and KPIs, while leveraging cloud and AI technologies.

The Clinical Data Engineer serves as an expert in USDM, driving digital protocol generation and enabling seamless data flow across the clinical development lifecycle, while collaborating across functions to optimize processes and ensure compliance with industry standards.

The Data Engineer will design and maintain data pipelines, support AI use cases, and collaborate with data teams to improve data quality and accessibility.

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

Develop and optimize RAG pipelines, fine-tune LLM models, contribute to ML and DL architectures, and implement evaluation frameworks.

We are seeking a Senior PySpark Developer Data Engineer with extensive experience in data pipeline development, machine learning, and programming in Python and Spark. The candidate will lead data-driven projects, ensuring robust and clean code delivery, working collaboratively with teams and stakeholders.