Top Data Engineer Jobs in Chennai

The Data Engineer will build and maintain data pipelines, ensuring data quality for AI, machine learning, and data science applications. Responsibilities include data ingestion, processing, and collaboration for high-quality dataset delivery.

Assist in the design, development, and maintenance of data pipelines, ensuring data quality and collaborating with analytics teams.

The Data Engineer/Cloud Architect will design, build, and maintain scalable data infrastructure and pipelines, integrate operational data with business intelligence, and ensure data quality and governance in a collaborative environment.

As a Senior Backend Software Engineer, you'll design and build systems for H1's data platform using Python, SQL, and cloud technologies while collaborating with cross-functional teams.

As a Senior Backend Data Engineer at H1, you will design and build backend services, working collaboratively to enhance data workflows and ensure optimal data delivery.

Design and maintain scalable data pipelines, implement data solutions using Snowflake, write Python code, and collaborate with stakeholders to deliver data solutions.

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.

Lead the design and development of data pipelines and ETL processes using Scala and Apache Spark on Databricks. Collaborate with teams to deliver effective data solutions and implement governance best practices.

Join Logitech as a Senior Data Engineer to develop and enhance the Enterprise Data Warehouse, focusing on ETL processes, data modeling, and data integrity.

The Data Engineer will build core data products, automate processes, optimize data delivery, and support teams with data-related technical issues.

As a Software Engineer, you will develop data systems for customer acquisition, collaborate with marketing teams, and enhance analytics tools for campaign optimization.

Design and maintain data pipelines using SQL and Python, develop complex queries, ensure data quality, and mentor junior staff. Collaborate with cross-functional teams for optimal data usage.

The Staff Data Engineer will architect enterprise data solutions, mentor teams, and lead initiatives impacting the cybersecurity platform's goals.

The Principal Software Engineer will design and develop software for distributed systems, providing direction and mentoring. Responsibilities include debugging, collaborating with teams, and driving solutions for the Pivot to SaaS initiative.

The Data Engineer will design and maintain data pipelines, optimize data warehousing, and ensure data quality and governance while collaborating with cross-functional teams.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

The Data Engineer will design and build data pipelines, develop APIs, ensure data quality, and support cloud-based systems for analytics and machine learning.

The Big Data Engineer will work with Hadoop and Hive on big data platforms, use Python and PySpark, and manage databases with SQL while ensuring clear communication.

As a Big Data Engineer, you'll develop and maintain big data solutions, focusing on technologies like Hadoop and Python to process data efficiently.

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 Senior Data Engineer will design and manage RAG Vector Databases, modernize data ingestion pipelines, ensure data synchronization, and collaborate across teams for AI insights.

The Senior Data Engineer will design ETL solutions, optimize data pipelines, and engage with stakeholders to create tailored cloud solutions for real estate data needs.

Design and develop scalable applications on Azure, collaborating with teams to meet business needs while mentoring junior engineers and ensuring cloud security.

Develop and deploy AI chatbots using NLP and machine learning. Analyze text data, evaluate models, and collaborate with clients and teams to enhance AI solutions and product features.

The role involves leading the development of Big Data systems, managing ingestion pipelines, and ensuring compliance with Risk and Regulatory requirements.