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 Qualified 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 Orchid

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GCP Data Engineer (Mumbai)
🏢 Dentsu Webchutney
📍 Mumbai