GCP Data Engineer

Pune, Maharashtra, IndiaFull-timePosted 5 weeks ago

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

Dentsu Global Services Private Limited

Apply

Asks for

The ad says“1. GCP Professional Data Engineer Certification.”

The ad says“2. Snowflake Associate / Core”

The ad says“Integrate with external APIs to ingest datasets into BigQuery and other storage layers.”

The ad says“Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm.”

The ad says“Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build.”

The ad says“Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm.”

The ad says“Design, build, and optimize scalable ETL/ELT data pipelines across GCP.”

The ad says“Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm.”

The ad says“Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation.”