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.

As a Senior Manager, Analytics Developer, you will lead the development of data solutions for AI and advanced analytics, executing data strategies, and managing data pipelines, ensuring high performance and compliance.

The Data Engineer will manage GCP-based data pipelines, optimize data systems, and collaborate with software developers and data teams to ensure optimal data delivery. Responsibilities include building data architecture, using various data tools, and ensuring data governance across multiple systems.

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

The Manager, Quality - Business Data Engineer will lead data governance and management, support AI/ML initiatives, and ensure compliance in data solutions while collaborating with various stakeholders.

The role involves designing and building data pipelines, managing data infrastructure on cloud platforms, ensuring data quality and governance, and collaborating across teams to optimize data for AI products.

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 build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

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.

As a Senior Data Engineer, you'll design and maintain data pipelines, implement data models, and ensure data governance while collaborating across teams to deliver insights and improve 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.

Seeking a Data Engineer to design, develop, and maintain data solutions, ensuring data quality, creating pipelines, and implementing ETL processes while 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.

Design, develop, and maintain data solutions for data collection, processing, and migration. Ensure data quality through ETL processes and collaborate with teams for data accessibility.

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

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.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

As a Data Engineer, you will design scalable solutions, manage data modeling, ETL processes and collaborate with software engineering teams to deliver quality projects.

The AWS Data Engineer will develop and maintain cloud-based data pipelines and analytics platforms on AWS, focusing on ETL/ELT jobs, serverless functions, and data storage solutions.

As a Data Engineer, you will design, develop, and maintain data solutions for data processing, ensuring quality and implementing ETL processes. Responsibilities include creating pipelines, optimizing data processes, and mentoring junior team members.

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

The Data Engineer designs, develops, and maintains data solutions, including creating data pipelines, ensuring data quality, and implementing ETL processes.

The Data Engineer designs, develops, and maintains data solutions, focusing on ETL processes and data pipeline creation, while ensuring data quality and collaboration with teams.

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

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