Top Data Engineer Jobs in Chennai

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

As a GCP Data Engineer Lead Consultant, you will design and implement data solutions on GCP, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.

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 lead the creation and maintenance of the company's data infrastructure, build reporting capabilities, and develop data-driven automation pipelines.

The Associate Software Engineer will create and maintain data pipelines, build infrastructure for data extraction and transformation, and collaborate with stakeholders on data-related issues.

As an AI ML Data Engineer, you will develop RAG pipelines, fine-tune LLM applications, and collaborate on machine learning models and frameworks.

Develop and optimize pipelines for LLMs and machine learning models, implement evaluation frameworks, and collaborate on scalable AI systems.

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

The Data Engineer II develops and manages data pipelines, ensuring data quality and availability for analytics, while optimizing processes and designs for real-time data. Engages in collaboration with DevSecOps for continuous integration and deployment.

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 Principal Software Engineer at Atlassian will design and optimize high-scale storage systems on AWS, mentor engineers, and improve storage solutions' performance and reliability.

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, build, and operationalize large-scale data solutions on Google Cloud Platform, optimizing data pipelines for performance and cost with tools like Python and SQL.

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

As a Senior Data Engineer, you'll focus on data analytics, utilizing Azure Data Services and collaborating on innovative projects to enhance client decision-making.

The Data Engineer will design and optimize large-scale data pipelines and workflows, ensuring data quality and collaborating with data scientists and engineers for insights and reporting.

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.

The role involves supporting data ingestion and curation processes, building data pipelines, and collaborating on analytics solutions using various big data tools under guidance.

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.

The Data Engineer will design and maintain data pipelines, support APIs, ensure data quality, and collaborate with teams on data-driven solutions.

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