Top Data Engineer Jobs in Mumbai

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 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.

The role involves building and maintaining automated pipelines for data collection and cleaning from public sources, integrating scrapers with backend systems, and ensuring data accuracy and compliance with platform rules.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

As a Data Engineer, you will design and maintain data infrastructure, build data pipelines, and collaborate on data requirements for analytics and reporting.

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

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.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Data Engineer II designs and implements data pipelines, manages ETL processes, and optimizes SQL queries while mentoring junior engineers and ensuring data integrity.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Data Engineer II designs, codes, and manages data pipelines, ensuring data quality and working with stakeholders to deliver effective data solutions, while mentoring junior engineers.

The Sr. AWS Data Engineer will design, implement, and manage AWS data solutions, collaborate with teams, and mentor junior engineers while ensuring data integrity and availability.

The Data Engineer will build and optimize data pipelines, collaborate across teams, and ensure data quality for analytics and product features.

The Data Engineer will build and optimize data pipelines, collaborate with teams, ensure data quality, and drive continuous improvement in data solutions.

The Data Engineer II will build scalable data solutions, support data pipelines, develop reports, and ensure data hygiene for investment decisions.

As a Data Engineer, you will develop and maintain ETL processes, manage data pipelines, and ensure data accuracy for financial analytics.

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Develop and maintain data pipelines using Python and SQL. Use DBT for data transformation and work with data warehouses. Ensure compliance with data governance policies.

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.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.