Top Data Engineer Jobs in Chennai

As a Data Engineer III, you will design, develop, and maintain data infrastructure and pipelines, ensuring the smooth flow of high-quality data. Responsibilities include collaborating with teams to optimize workflows, monitoring data pipelines, and implementing governance measures.

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.

Design, develop, and maintain data infrastructure and pipelines, ensuring data integrity and collaboration with teams for analysis and reporting.

This role designs and implements data systems, ensuring data quality and project management while mentoring junior engineers and collaborating with stakeholders.

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.

As a Data Platform Engineer, you will assist in designing and implementing data platforms while collaborating with architects to enhance data architecture and functionality.

Coordinate and implement cloud-based digital solutions in manufacturing to enhance efficiency and quality, ensuring compliance and stakeholder communication.

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

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.

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.

As an Officer in Big Data Engineering, you will work with Hadoop, Hive, and PySpark to manage big data solutions, utilizing your database management and programming skills.

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

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

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

The Big Data Engineer participates in system enhancement implementation, analyzes issues, develops applications, and ensures compliance with regulations.

As a Data Engineer, you will design and maintain data infrastructure, build data pipelines, and collaborate on data requirements for analytics and reporting.

The Trading System Engineer will design and develop low-latency trading systems for bond markets, enhancing performance and compliance. Responsibilities include system optimization, collaborating with teams, and mentoring junior engineers.

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.

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

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 role involves designing, developing, and maintaining growth data pipelines, ensuring real-time access to quality data, collaborating with teams, and managing data infrastructure using big data technologies.

The Engineer - Process Data SSW will manage geospatial data and support improvement projects, ensuring compliance with data quality standards and collaborating with various stakeholders.