GCP Data Engineer

Merkle; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Merkle India is hiring a Data Engineer to design, build, and optimize scalable ETL/ELT data pipelines on Google Cloud Platform. You will develop modular Python applications for data ingestion, orchestration, and transformation, and work with BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and Dataform.

You will integrate external APIs, implement real‑time processing, and drive CI/CD for pipelines and services while ensuring quality, governance, and security across

Qualifications

• Bachelor’s or Master Degree or equivalent Degree.
• GCP Professional Data Engineer Certification.
• Snowflake Associate / Core

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

Bachelor’s or Master Degree

Tools

Python

GCP

BigQuery

Cloud Functions

Cloud Run

Cloud Composer

Pub/Sub

Eventarc

Dataform

Job description

Job Description

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

• GCP Professional Data Engineer Certification.
• 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