Top Data Engineer Jobs in Mumbai

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 Principal Data Engineer, you will architect data platforms, build data pipelines, implement data quality standards, and lead technical initiatives in a collaborative team environment.

As a Data Engineer, you will create data pipelines, ensure data quality, develop data governance, and coach junior engineers while collaborating with product managers and business teams.

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.

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

As a Data Engineer, you will design and implement scalable data pipelines using the ELK Stack, develop data processing workflows, and collaborate with cross-functional teams to ensure data integration and visualization needs are met.

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

As a Data Engineer Intern, you will write efficient code, learn new technologies, collaborate with teams, and deliver data products to improve decision-making.

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

The Data COE Sr. Data Engineer will design and build scalable data solutions, manage data pipelines, ensure data quality, and collaborate with stakeholders while leading a team of data engineers.

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 implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

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 role involves optimizing SAP and non-SAP systems, building data processing pipelines, and providing insights for the Cash Management function through collaboration and technical solutions.

The Data Engineer will design and optimize large-scale data pipelines and workflows, ensuring data quality and collaborating with data scientists and engineers for insights and reporting.

As a Senior Backend Software Engineer, you'll design and build systems for H1's data platform using Python, SQL, and cloud technologies while collaborating with cross-functional teams.

The role involves designing and building advanced cloud-based data solutions using Azure technologies, participating in system integration projects, and leveraging Python and SQL for application development and data warehousing.

As a Data Engineer, implement data pipelines and analytics solutions using AWS technologies, collaborating closely with Product Owners and AWS Architects.

The role involves developing cloud solutions on AWS, maintaining CI/CD pipelines, and collaborating with cross-functional teams to deliver high-quality software.

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.

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

The Senior Analyst - Data Engineer will develop and maintain data pipelines, ensuring data integrity in a Databricks environment, focusing on scalable solutions and collaboration with stakeholders.

The Senior Analyst - Data Engineer will develop and maintain data pipelines, ensure data quality, and support data-driven insights using Databricks and cloud technologies.