Design, build, and optimize scalable ETL/ELT data pipelines across GCP.
Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation.
Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm.
Integrate with external APIs to ingest datasets into BigQuery and other storage layers.
Implement event-driven and real-time data processing architectures.
Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build.
Ensure optimal performance, scalability, and cost efficiency of pipelines and data infrastructure.
Establish and enforce data quality, governance, lineage, and security standards.
Work closely with cross-functional teams to convert business needs into scalable data solutions.
Maintain detailed technical documentation and contribute to engineering best practices.
Bachelor’s or Master Degree or equivalent Degree
12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone
DGS India - Pune - Indiqube Orchid
Merkle
Full time
Permanent
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.
