Top Tech Jobs & Startup Jobs in Mumbai

Design, build, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, perform BigQuery performance tuning, collaborate with teams, and troubleshoot data processing issues.

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

Design, develop, and maintain ETL pipelines and data solutions using GCP services and BigQuery; ensure data quality, performance tune queries, migrate and integrate data, and collaborate with cross-functional teams to deliver scalable data platforms.

Design, develop, and maintain data solutions and ETL pipelines. Ensure data quality, implement migrations, collaborate with cross-functional teams, mentor juniors, and optimize data processes.

Design, develop, and maintain data pipelines and ETL processes using GCP services and SQL/Python. Ensure data quality, migrate data across systems, tune BigQuery queries, automate CI/CD, and collaborate with teams to support analytics and modeling needs.

As a Data Engineer, design and develop data solutions including data pipelines, ensuring quality and implementing ETL processes while collaborating with teams for data accessibility.

Design, develop, and maintain data pipelines and ETL processes using GCP services (BigQuery, Pub/Sub, Dataflow, Dataproc). Ensure data quality, performance tune BigQuery SQL, automate CI/CD, and collaborate across teams to deploy and troubleshoot data solutions.

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

Design, develop, and maintain data pipelines and ETL processes. Ensure data quality, implement cloud-native data platform solutions (mainly GCP/BigQuery), optimize performance, and support data integration/migration projects while collaborating with cross-functional teams and troubleshooting production issues.

Design, build, and maintain ETL/data pipelines and data platform services on GCP (BigQuery, Composer/Airflow). Ensure data quality, migrate/integrate data, tune BigQuery performance, and collaborate with cross-functional teams to support analytics and modeling needs.