Gcp Data Engineer (Greater Noida)

Data Engineer (GCP)

About the Role

Data Engineer

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 modern 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)

  .