Top Data Engineer Jobs in Chennai

Support and operate SQL Server and MongoDB Atlas platforms, ensuring performance and reliability in a 24/7 production environment, including troubleshooting and incident management.

This role focuses on building enterprise metrics in Looker, optimizing LookML models, SQL performance, and enabling self-service solutions for business users.

As a Data Engineer, the role involves designing and maintaining data solutions, creating data pipelines, ensuring data quality and implementing ETL processes for data migration across systems.

The Data Engineer role involves developing ETL pipelines, implementing data transformations, and ensuring data availability for analytics and reporting.

Lead the design and implementation of ETL processes, develop Python solutions, and create data visualizations, collaborating with cross-functional teams.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

As a Data Engineer, design and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

The role involves developing and maintaining data pipelines, optimizing workflows, managing cloud storage, and ensuring compliance with data security standards.

Develop and maintain scalable data pipelines, optimize workflows, manage cloud storage, ensure data security, and collaborate across teams.

The Data Engineer role involves data management, system design, and collaboration with teams to implement effective data solutions.

The Data Engineer Pyspark Developer will enhance systems, resolve technical issues, analyze applications, coach lower-level analysts, and apply programming knowledge.

As a VP Data Engineer, you will lead the design of data solutions using various technologies, aiming for efficiency and customer-centric data strategies while mentoring teams and streamlining data processes.

Design and develop ETL pipelines, optimize data architecture, collaborate with data scientists to prepare data, and validate data quality.

As an Azure Data Engineer, you will develop solutions for large-scale projects, utilizing Azure technologies and software engineering practices to innovate and maintain data services.

The role involves leading data engineering projects, developing solutions using Azure cloud services, and leveraging SQL for data analytics.

The role involves onboarding cybersecurity data sources, mapping and normalizing data, customizing workflows, and collaborating with teams to enhance security measures.

This role involves establishing and implementing application systems, focusing on database analysis, programming, and significant experience with Oracle PL/SQL and data modeling techniques.

The Sr. Staff Integration Engineer will onboard cybersecurity data sources, normalize security data, troubleshoot pipeline health, and communicate with stakeholders to enhance product integration and performance.

The Data Engineer Intern will analyze requirements, develop new features, and fix bugs while collaborating with the CXOS team and senior leadership on impactful projects.

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

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

Develop and optimize RAG pipelines, fine-tune LLM models, contribute to ML and DL architectures, and implement evaluation frameworks.

The Lead Data Engineer will oversee enterprise data engineering services, focusing on data pipeline management, technical strategy, governance, and operational excellence across various data platforms and tools.

The Data Engineer designs and maintains scalable data pipelines, supports data infrastructure across platforms, and ensures compliance in banking data environments. Responsibilities include developing ETL workflows, optimizing performance, and collaborating across teams for advanced analytics.