GCP Big Data Engineer (Full-time at a Fortune 500 tech MNC )

10 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary:

GCP Big Data Engineer

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.

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