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Dentsuaegis

GCP Data Engineer

DGS India - Pune - Indiqube Orchid · Mumbai · New delhi

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hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 Orchid

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Original posting on Dentsuaegis's site ↗

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