GCP Data Engineer

Merkle Italia; Pune District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Merkle India is seeking a GCP Data Engineer to design, build, and optimize scalable ETL/ELT data pipelines across GCP in Pune. You will develop modular Python applications for data ingestion, orchestration, and transformation.

You will architect and maintain data solutions using BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm, with a focus on performance, cost efficiency, data quality, governance, and security.

Qualifications

• Bachelor’s or Master Degree or equivalent Degree.
• GCP Professional Data Engineer certification preferred.
• Experience with building data pipelines on GCP.

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.

Skills

Python

ETL/ELT design

BigQuery

Cloud Functions

Data pipelines

CI/CD

Education

Bachelor’s or Master Degree in a relevant field

Tools

GCS

Cloud Run

Cloud Composer

Pub/Sub

Eventarc

DataForm

Job description

## GCP Data EngineerApply: DGS India - Pune - Indiqube Orchid: Mumbai: New delhi: Full time: Posted Today: R1131652**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