Top Data Engineer Jobs in Mumbai

This role involves building and operating data pipelines, implementing automation, data extraction, data management, and collaboration with stakeholders to optimize data systems.

The role focuses on designing and building data infrastructures, ensuring data quality and governance, optimizing performance, and collaborating on AI initiatives within the healthcare sector.

As a Data Engineer, you will extract, process, and automate data solutions using various technologies, mentor junior engineers, and enhance data operations processes.

The GEN BI Engineer will design and deliver innovative BI solutions, collaborate with stakeholders, and build scalable systems using data for strategic decisions.

As a Data Engineering Manager, lead the development of data products, drive innovation using AI, and manage a team while collaborating across multiple teams.

Seeking an AWS Data Engineer to design and build data pipelines, ensuring data integrity and collaborating with various teams to enhance data solutions.

The Data Engineer will design and manage scalable data pipelines, support analytics and AI model evaluation, ensuring data integrity and security while collaborating with cross-functional teams.

The SDET will develop and maintain automated testing frameworks, perform white-box testing, ensure test automation in CI/CD pipelines, collaborate on QA practices, and advocate for quality across teams.

The Data Engineer will develop scalable data pipelines, optimize data models, support cloud migration to AWS, and ensure data quality in a cross-functional team environment.

Design and maintain data solutions for generation, collection, and processing. Create data pipelines and implement ETL processes to ensure data quality.

As a Principal Data Engineer, you will design and implement scalable data solutions on AWS, lead teams, and drive quality outcomes by promoting best practices and collaborating with stakeholders.

The role involves leading data architecture and engineering for a health insurance platform, focusing on cloud-native solutions, scalable data pipelines, and ensuring data quality and governance while collaborating across teams.

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 optimize high-performance data pipelines using Apache Spark, ensuring reliability and scalability. Collaborate with teams to implement best practices for data quality and security.

Design and develop scalable web and enterprise solutions, improve data flows and database design, enforce agile practices, and introduce innovative frameworks while also developing and leading junior peers.

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

The Data Engineer will design, develop, and maintain ETL pipelines for data integration, ensuring data quality and compliance in cloud and on-premise environments.

As a Data Platform Engineer, you will manage and monitor data systems and storage infrastructure while driving automation and collaborating with teams.

The Data Centre Engineer oversees and maintains physical servers and network infrastructure, ensuring efficient operations in colocation facilities. Responsibilities include installation, troubleshooting, documentation, and collaboration with vendors.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

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 AWS Data Engineer will develop and maintain data pipelines using AWS technologies, perform data modeling, and collaborate with teams to meet data needs.

Design and develop large-scale data pipelines using Hadoop, optimize workflows, maintain data quality, and collaborate with teams on data needs.

The Software Development Engineer will collaborate with teams to build technology solutions, develop deployment methods, and support existing systems, focusing on continuous improvement and innovation in software development practices.

Lead the Group Security Data Engineering team to build and maintain the data platform, focusing on AWS services, automation, and advanced data engineering practices. Mentor team members and drive strategic direction for data initiatives while ensuring best practices in data management and security are upheld.