Top Tech Jobs & Startup Jobs in Mumbai

Design, develop, and maintain data pipelines and ETL processes using Python, BigQuery, Airflow, and GCP services. Ensure data quality, perform performance tuning, support data integration/migration projects, and collaborate across teams to deliver scalable cloud-native data solutions.

Design, develop, configure, and enhance custom software solutions using STIBO PIM and modern frameworks. Lead application efforts, integrate via REST APIs, implement complex workflows and event processors, and collaborate across teams while working in shift B.

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

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

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

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

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.