Top Data Engineer Jobs in Chennai

The Senior Data Engineer designs and maintains data pipelines and infrastructure, collaborates on AI-enabled analytics, and mentors junior engineers while ensuring data integrity and efficiency.

The Software Engineer will support data collection for AI model training, manage ingestion pipelines on GCP, and work on developing large-scale datasets.

Lead the architecture of data platforms, mentor engineers, modernize legacy systems, and drive technical initiatives to support data strategy.

The Senior Data Engineer will design and scale infrastructure for analytics and performance marketing, build data pipelines using Spark, and optimize workflows across GCP and AWS systems.

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.

Provide application support and IT operations for AI and data platforms, deploy and monitor GenAI and machine learning models, troubleshoot production issues, collaborate with data scientists, and ensure system reliability and performance.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

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.

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

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.

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

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

Lead the design and development of data pipelines and architectures, ensuring data quality and governance while mentoring junior engineers.

As a Senior Data Engineer, you will develop scalable data pipelines, build financial applications, and deliver analytics solutions for finance operations using AWS and other tools.

As a Data Engineering Intern, you will design and develop data pipelines, integrate data sources, and maintain data workflows while collaborating with senior engineers.

Design and maintain scalable ETL/ELT pipelines, optimize data processes, collaborate with teams for analytics, and ensure data integrity.

The Senior Data Engineer will build and maintain data pipelines, ensure data accuracy, optimize performance, and collaborate with analysts for business intelligence solutions.

The Big Data Engineer will lead development in HFM, FDMEE mapping, and shared services. Responsibilities include SmartView utilization, application creation, metadata building and consolidations.

Design, build, and optimize scalable data pipelines and analytics solutions using Microsoft Fabric, PySpark, Python, and SQL. Collaborate with stakeholders, manage data governance, and ensure data quality in a Lakehouse architecture.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.

The Senior Data Engineer will design and optimize cloud-native data infrastructures, develop data pipelines for AI applications, and mentor team members.

Responsible for guiding teams in utilizing technology effectively, mentoring colleagues and devising advanced solutions to meet client challenges.

As a Senior Engineer in Data Analytics, you'll work on challenging problems using cutting-edge technology alongside talented colleagues to drive innovative solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.