Top Data Engineer Jobs in Chennai

The Senior Associate Data Engineer develops structured data sets, transforms data, creates ETL packages, and supports analytics and modeling for business data requirements.

The role involves developing data pipelines and migrations, supporting data loads in a collaborative agile environment, and enhancing data warehouses.

The Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

Lead the monitoring, maintenance, and optimization of the enterprise data warehouse, ensuring ETL performance and compliance with SOX standards. Collaborate with stakeholders to resolve issues and perform deep-dive analyses for quality improvements.

The Senior Associate Data Engineer develops structured data sets for analysis, creates ETL processes, and designs data models to support analytics needs, collaborating with various stakeholders for data requirements and improvements.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

Design and optimize scalable data platforms on GCP using Databricks, dbt, and Apache Airflow. Collaborate and mentor teams while ensuring data quality and performance.

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

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

Collaborate with data scientists and engineers to implement data solutions, support data quality initiatives, and redesign data flows to resolve issues.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

Lead technical projects within the data engineering team, architect systems, mentor junior engineers, and drive performance optimizations in a high-volume, cybersecurity-focused environment.

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

Lead the design, development, and maintenance of Disability & Absence products at MetLife, focusing on Big Data technologies and solutions.

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.

Join DEME's Data & Analytics Office as a Data Engineer to transform data into high-quality datasets, maintain data pipelines, and support insights for decision-making.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

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.