Lead GCP Data Engineer

2 days ago

Gurgaon, Haryana, India Impetus Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Title:
Lead Data Engineer – GCP (BigQuery
• Composer
• Python
• PySpark)

Location:
Gurgaon

Experience:
8+ years (data engineering / analytics engineering), with previous lead responsibilities

About the Role:

You will lead the design, build and operation of large-scale data platforms on the Google Cloud Platform. You will manage a team of data engineers, collaborate with analytics & data science stakeholders, define best-practices, and ensure robust, production-ready pipelines that support business insights and data products.

Key Responsibilities:

  • Architect and implement end-to-end data pipelines using BigQuery, PySpark/Spark, Python.
  • Use Cloud Composer (Airflow) to orchestrate workflows, manage DAGs, scheduling, dependencies and monitoring.
  • Design and optimise BigQuery usage (partitioning, clustering, cost-control, performance tuning).
  • Develop and manage large-scale Spark/PySpark jobs for batch and potentially streaming data.
  • Ensure cloud-native architecture on GCP: storage (Cloud Storage), compute (Dataproc/Dataflow), orchestration (Composer), security/iam.
  • Lead and mentor a team of data engineers: code reviews, best practices, architecture decisions.

Required Skills & Qualifications:

  • Minimum ~8 years of experience in data engineering or similar, ideally with lead responsibilities.
  • Hands-on experience in GCP services—especially BigQuery (data warehousing, optimisation), Cloud Composer (Airflow) for orchestration.
  • Strong experience with PySpark/Spark for large-scale data processing.
  • Excellent proficiency in Python (scripting, automation, building frameworks).
  • Strong SQL skills (in BigQuery or similar cloud data warehouse), including complex queries, optimisation.
  • Experience designing data models, data warehouses/lakes, ingestion pipelines, transformations.
  • Experience building/operating CI/CD pipelines, version control (Git), test/monitoring practices.
  • Excellent communication and leadership skills—able to mentor, lead architecture discussions and engage stakeholders.

Why Join Us:

  • Lead a talented team and influence data engineering architecture & tooling.
  • Work on high-impact data platforms that enable business growth.
  • Use cutting-edge GCP services and modern data engineering practices.

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