Top Data Engineer Jobs in Mumbai

As a Data Engineer III, you will modernize data systems, develop data models and pipelines, and ensure data quality while collaborating across teams at JPMorgan Chase.

As Data Engineer III, you will transform data landscapes, support analytics, and manage data systems in cloud and on-prem environments, ensuring quality and compliance.

As a Data Engineer II, you will enhance and deliver data solutions, develop data pipelines, and collaborate with teams to meet data needs.

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

Lead the data engineering transformation at JPMorgan Chase, overseeing modern data infrastructures and guiding a team of data engineers in architecture and development.

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.

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

As a Data Engineer, you'll architect and build tools for managing data quality, integrating systems, and ensuring data reliability in production datasets.

The role involves designing and optimizing data pipelines, job automation, leading teams, and managing data workflows using Azure technologies.

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.

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

The role involves supporting data ingestion and curation processes, building data pipelines, and collaborating on analytics solutions using various big data tools under guidance.

As a Senior Software Engineer on the Data Platform team, you'll design and build foundational data services, maintain data pipelines, and ensure security and observability across data systems.

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 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.

As a Core Data Engineer, design and optimize data pipelines, implement ETL frameworks, and collaborate with teams to ensure data quality and architecture.

As a Core Data Engineer, you'll design and build data pipelines, maintain ELT/ETL frameworks, and collaborate with Data Science teams to ensure data reliability and scalability.

Lead data quality assurance efforts by applying statistical expertise, AI/ML algorithms, and automation techniques to enhance data integrity and support financial analysis. Collaborate with cross-functional teams while mentoring junior members.

As a Senior Data Engineer, you will develop data pipelines, ensure data quality, implement business logic, and support analytics for stakeholders using technologies like Python and SQL.

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 innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Design, build, and operationalize large-scale data solutions on Google Cloud Platform, optimizing data pipelines for performance and cost with tools like Python and SQL.

Develop and maintain data pipelines using AWS technologies. Collaborate with teams to design data solutions and optimize existing systems. Create data models and perform end-user querying.