Job Description:
Key Responsibilities
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.
Education Qualification
Bachelor’s or Master Degree or equivalent Degree
Certification If Any
1. GCP Professional Data Engineer Certification.
2. Snowflake Associate / Core
Shift timing
12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone
Location:
DGS India - Pune - Indiqube OrchidBrand:
MerkleTime Type:
Full timeContract Type:
Permanentdentsu Mumbai, Maharashtra, IND Office
Mumbai, India
