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

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

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.

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 will leverage technologies to enhance data analytics, focusing on ETL processes and integrating data from various sources, while collaborating within a dynamic team.

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.

Seeking a self-motivated Senior AWS Data Engineer with 5+ years of experience to design scalable data processing pipelines using distributed engines and cloud computing. Collaborate with data scientists and team members in an agile environment.

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.

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, develop and maintain scalable data pipelines and ETL processes while ensuring data quality, security, and performance to support data-driven decisions.

Lead complex projects that enhance technology solutions at Pfizer, focusing on Agile implementation, stakeholder engagement, and communication of project statuses.

The role involves developing AI solutions, data engineering, and analytics products, ensuring system integration, automation, and collaboration within teams to enhance Pfizer's digital transformation efforts.

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

Design and deliver big data pipelines, create cloud migration strategies, troubleshoot distributed systems, and develop solutions for healthcare organizations.

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

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.

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

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.

As a Senior Data Engineer, you'll focus on data analytics, utilizing Azure Data Services and collaborating on innovative projects to enhance client decision-making.