Design, build, and optimize scalable ETL/ELT data pipelines on GCP. Develop modular Python applications for data ingestion, orchestration, and transformation. Architect and maintain data solutions using GCP services including BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm. Integrate external APIs for data ingestion. Implement event-driven and real-time data processing. Automate CI/CD workflows with Cloud Build. Ensure performance, scalability, cost efficiency, and enforce data quality, governance, lineage, and security standards. Collaborate with cross-functional teams to deliver scalable data solutions. Maintain technical documentation and engineering best practices. Requires Bachelor's or Master's degree. GCP Professional Data Engineer and Snowflake certifications preferred. Shift timings: 12 PM to 9 PM or 2 PM to 11 PM IST.
What you'll do
Design, build, and optimize scalable ETL/ELT data pipelines across GCP
Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation
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