Data Engineer (GCP)

About the Role

We are looking for a highly motivated and results-driven Data Engineer who thrives on solving complex data challenges and building scalable, production-grade data platforms.

You will work closely with cross-functional teams to design, develop, and optimize contemporary data pipelines on Google Cloud Platform (GCP), enabling data-driven decision-making across the organization.

Key Responsibilities
Design, develop, and maintain scalable, production-grade data pipelines and ETL/ELT workflows.
Build high-performance data processing solutions using PySpark and Python.
Write complex and optimized SQL queries for large-scale datasets.
Develop efficient, reliable, and reusable data engineering frameworks and components.
Implement and maintain data models aligned with Medallion Architecture (Bronze, Silver, Gold) principles.
Work with GCP services such as BigQuery, Dataproc, Cloud Composer (Airflow), Pub/Sub, and Cloud Run.
Ensure data quality, performance, scalability,



and operational excellence across data platforms.
Collaborate with business and technical stakeholders to translate requirements into robust data solutions.
Troubleshoot, optimize, and continuously improve existing data pipelines and workflows.

Required Skills & Qualifications
4+ years of hands-on experience in Data Engineering.
Robust expertise in PySpark and Python.
Advanced proficiency in SQL and query performance optimization.
Proven experience building and supporting production-grade big data pipelines.
Robust understanding of up-to-date data architecture and data engineering best practices.
Hands-on experience with Google Cloud Platform (GCP), particularly:
BigQuery
Dataproc
Cloud Composer (Airflow)
Pub/Sub
Cloud Run
Experience implementing Medallion Architecture (Bronze-Silver-Gold).

📌 Gcp Data Engineer Greater Noida
🏢 Coforge
📍 Greater Noida