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 modern 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.
- Strong expertise in PySpark and Python.
- Advanced proficiency in SQL and query performance optimization.
- Proven experience building and supporting production-grade big data pipelines.
- Strong 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