Top Data Engineer Jobs in Mumbai

This role focuses on enhancing data engineering practices, developing data pipelines, and ensuring data quality within a maritime context.

The Software Engineer will design and build a scalable data platform, develop data pipelines, and collaborate on new features within the data engineering team.

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.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

The Data Engineer will design and maintain data pipelines, optimize data warehousing, and ensure data quality and governance while collaborating with cross-functional teams.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

The Senior Engineer will build high-quality software for M&G's Investment Data Platform, collaborating in an agile environment and enhancing existing data platform artifacts.

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

Lead data migration projects for SAP implementations, focusing on ETL design and development, data quality, profiling, and cross-functional collaboration.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

The role involves overseeing the maintenance and build of data centres, coordinating with vendors, and ensuring compliance with operational standards.

Lead implementation of Salesforce Data Cloud and manage data integration across systems, ensuring compliance and optimizing data pipelines.

As a Staff Engineer, you will build scalable data systems and analytics frameworks, ensuring high standards of customer success while leveraging open source technologies.

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

The Senior Data Engineer will design and optimize cloud-native data infrastructures, develop data pipelines for AI applications, and mentor team members.

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.

Design and execute automated testing processes for data pipelines using Azure Databricks and Azure Data Factory, focusing on ETL validation and quality assurance while collaborating with development teams.

Responsible for data collection to support model training, operating cloud infrastructure, collaborating with scientists, and enhancing data ingestion pipelines.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.