Top Data Engineer Jobs in Chennai

Lead architecting enterprise-scale data solutions, mentoring teams, and aligning data architecture with business strategy for a cybersecurity company.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Design and build data infrastructure, develop data pipelines, optimize queries, and collaborate with stakeholders to create accessible data models.

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.

Drive the development of an embedded AI CoPilot by designing scalable data pipelines and optimizing multi-agent workflows for cloud network security solutions.

As a Staff Engineer, you will build scalable distributed data systems, contributing to analytics and security enhancements for Netskope's products.

The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.

As a Senior Data Engineer at Udacity, you'll design and implement data solutions, work with various stakeholders, and enhance data pipeline integrity using cutting-edge technology.

The Senior Data Engineer will enhance data pipelines, manage data infrastructure, ensure quality and compliance, and work collaboratively with teams to support product initiatives and data needs.

Develop full-stack applications and data tools, manage ETL pipelines, and collaborate with product and marketing teams to integrate data for business insights.

As a Staff Engineer, you will build scalable data systems, manage data infrastructure, and enhance security insights through analytics and collaboration with teams.

Lead the development of complex software projects and data platforms, oversee architectural integrity, guide software design, and implement scalable data pipelines.

The role involves developing and evaluating prompts for Voice AI systems, conducting data analysis, leading a team, and collaborating across functions to optimize AI performance.

As a Senior Data Engineer, you will design and maintain data systems, implement ETL processes, and collaborate with teams to enhance data management and analytics solutions.

Responsible for designing, developing, and optimizing data infrastructure and pipelines to support analytics initiatives, ensuring data quality and performance.

The Associate Principal Engineer, Data Science will design data solutions, focus on predictive modeling, optimize data applications, and oversee collaborative technical design processes.

Analyze business requirements for data visualization, design and maintain PowerBI dashboards, integrate data using SQL and Snowflake, and enhance processes.

The Principal Engineer, Data Science will utilize advanced data science techniques and cloud solutions to design and implement predictive models, collaborate with cross-functional teams, and ensure adherence to best practices in data architecture and machine learning.

As a Senior Data Engineer, you will design and implement data solutions, optimizing performance and ensuring security using various cloud platforms and technologies.

The Backend Engineer will build APIs, integrate with third-party systems, and develop financial products while maintaining scalable data architectures, focusing on backend software and technologies.

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.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.