Top Data Engineer Jobs in Mumbai

Design, develop, and maintain ETL/data pipelines and data-platform solutions on GCP. Ensure data quality, perform BigQuery performance tuning, collaborate with teams, and support data integration, migration, and CI/CD automation.

Design, build, and maintain ETL/data pipelines and data warehousing solutions on GCP (BigQuery). Ensure data quality, performance tuning, cloud-native integration, and collaborate with cross-functional teams to deliver analytics-ready data.

Design, build and maintain ETL pipelines and data solutions using GCP data platform (BigQuery, Dataflow, Pub/Sub). Ensure data quality, performance-tune BigQuery SQL, automate CI/CD, and collaborate with cross-functional teams to deliver scalable data integration and migration solutions.

Design, develop and maintain data solutions including creating data pipelines, ensuring data quality, and implementing ETL processes. Collaborate with teams and mentor junior members.

Design, develop and maintain data solutions, create data pipelines and implement ETL processes while ensuring data quality and providing visualization solutions.

Design, build, and maintain data pipelines and ETL processes using GCP services and Airflow; ensure data quality, migrate data across systems, optimize BigQuery performance, and collaborate with cross-functional teams to support analytics and decision-making.

As a Data Engineer, you will design, develop, and maintain data solutions, create pipelines, ensure data quality, and implement ETL processes.

Design, build, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, performance-tune BigQuery SQL, migrate/integrate data across systems, and collaborate with teams to deliver analytics-ready data.

The Data Engineer will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

Design, develop, and maintain ETL/data pipelines and cloud-native data solutions (BigQuery, Airflow, Python). Ensure data quality, perform performance tuning, support data migrations, and collaborate with cross-functional teams while working shift B.

Design, build, and maintain data pipelines and ETL processes using GCP services and BigQuery. Ensure data quality, performance tune BigQuery SQL, support data migration/integration, and collaborate with teams to deliver scalable data platform solutions.

Design, build, and maintain data pipelines and ETL processes on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub). Ensure data quality, performance tune BigQuery SQL, automate CI/CD, and collaborate with teams to deliver scalable data platform solutions.

Design, develop, and maintain data pipelines and ETL processes using GCP services (BigQuery, Cloud Functions, Pub/Sub, Composer). Ensure data quality, perform BigQuery performance tuning, support data integration and migration, automate CI/CD, and collaborate across teams to deliver scalable data solutions.

Design, build, and maintain GCP-based data pipelines and ETL processes, ensure data quality, migrate and integrate data across systems, optimize BigQuery performance, and collaborate with teams to deliver scalable data platform solutions.

As a Data Engineer, design and maintain data solutions focusing on ETL processes and data quality, while mentoring junior members and optimizing performance.

As a Data Engineer, you will design and maintain data solutions, create data pipelines, ensure quality, and implement ETL processes. You'll also mentor junior members and improve data processes.

As a Data Engineer, you will create data solutions, establish data pipelines, ensure data quality, and implement ETL processes to support business needs. You will also work with cross-functional teams for data infrastructure improvement.

Design, build, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, optimize BigQuery performance, migrate data across systems, and collaborate with stakeholders to support analytics and modeling.

Design, develop, and maintain ETL pipelines and data-platform solutions on GCP. Build and optimize BigQuery SQL, ensure data quality, automate CI/CD, migrate data, troubleshoot data flows, and collaborate with cross-functional teams to meet analytics needs.

Design, develop, and maintain data pipelines and ETL processes using GCP data platform services. Ensure data quality, perform BigQuery performance tuning, collaborate with cross-functional teams, and troubleshoot data flow issues to support analytics and decision-making.

Design, build and maintain ETL pipelines and data solutions using GCP data services. Ensure data quality, performance-tune BigQuery SQL, support data migrations/integrations, and collaborate with cross-functional teams to deliver reliable data platforms.

Design, develop and maintain data pipelines and ETL processes using GCP services. Ensure data quality, migrate/integrate data across systems, performance-tune BigQuery, and collaborate with cross-functional teams to deliver scalable data platform solutions.

Design, develop, and maintain data pipelines and ETL processes on GCP. Ensure data quality, implement data integration and migration solutions, performance-tune BigQuery SQL, and collaborate with cross-functional teams to deliver reliable data platforms.

Design, develop, and maintain ETL pipelines and data solutions on GCP. Ensure data quality, implement data integration and migration, optimize BigQuery performance, and collaborate with cross-functional teams to deliver reliable data for analytics and modeling.

Design, develop, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, performance-tune BigQuery SQL, migrate and integrate data across systems, and collaborate across teams to deliver scalable data solutions.