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GCP Big Data Engineer

4 weeks ago

Aurangabad, India HARP Full time

Job Summary:

We are looking for an experienced and motivated GCP Big Data Engineer to join our team in a leadership capacity. The ideal candidate will have 8–10 years of relevant experience in data engineering, with a strong focus on Google Cloud Platform (GCP), SQL, PySpark, and ETL processes. This role requires strong technical expertise and leadership capabilities to guide and mentor a team of engineers while ensuring high-quality data solutions.

Key Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines on Google Cloud Platform (GCP).
  • Work with PySpark to process large-scale datasets and optimize performance.
  • Write complex and efficient SQL queries for data extraction, transformation, and analysis.
  • Lead the implementation of ETL workflows and ensure data accuracy, completeness, and integrity.
  • Collaborate with cross-functional teams including data analysts, architects, and product managers to define data needs.
  • Provide technical leadership, mentorship, and code reviews for junior engineers.
  • Drive best practices for data engineering and cloud-based data processing.

Required Skills & Qualifications:

  • 8–10 years of experience in Data Engineering roles.
  • Proven experience with Google Cloud Platform (GCP) and its data services (e.g., BigQuery, Dataflow, Cloud Storage).
  • Strong programming skills in PySpark and Python.
  • Advanced proficiency in SQL and working with large, complex datasets.
  • Deep understanding of ETL frameworks and data pipeline orchestration.
  • Experience leading or mentoring teams in a technical capacity.
  • Excellent communication and problem-solving skills.

Preferred Qualifications:

  • GCP Certification (e.g., Professional Data Engineer) is a plus.
  • Experience with CI/CD pipelines and data pipeline automation.
  • Familiarity with Agile/Scrum methodologies.