Top Data Engineer Jobs in Mumbai

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.

As a Senior Backend Data Engineer at H1, you will design and build backend services, working collaboratively to enhance data workflows and ensure optimal data delivery.

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

The Data Engineer will design and maintain data pipelines, support APIs, ensure data quality, and collaborate with teams on data-driven solutions.

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

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.

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.

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.

As a Senior Data Engineer, you will monitor jobs, troubleshoot issues, support stakeholders, and develop solutions using AWS technologies.

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.

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.

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.

The Sr. Azure Data Engineer will develop and enhance Databricks pipelines, ensure data quality, and model healthcare data for analytics, collaborating closely with business stakeholders.

As a Data Engineer at Particle41, you will develop web applications, collaborate with teams, implement server-side logic, and ensure solution reliability through testing and debugging.

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

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

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.