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

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Data Engineer

Key Responsibilities

  • Design, develop, and maintain efficient and scalable data pipelines using

    PySpark

    and

    SQL

    .
  • Build and manage workflows/orchestration using

    Apache Airflow

    .
  • Work with

    GCP services

    such as BigQuery, Cloud Storage, Dataflow, and Composer.
  • Implement and optimize ETL processes to ensure data quality, consistency, and reliability.
  • Collaborate with data analysts, data scientists, and other engineering teams to support data needs.
  • Monitor pipeline performance and troubleshoot issues as they arise.
  • Write clean, maintainable, and well-documented code.
  • Required Skills & Qualifications

    :
  • Strong programming skills in

    PySpark

    and

    SQL

    .
  • Proven experience with

    Google Cloud Platform (GCP)

    .
  • Solid understanding of

    ETL concepts and data pipeline design

    .
  • Hands-on experience with

    Apache Airflow

    (or similar orchestration tools).
  • Familiarity with

    cloud-based data warehousing

    and storage systems (e.g., BigQuery, Cloud Storage).
  • Experience with performance tuning and optimizing large-scale data pipelines.
  • Good problem-solving skills and the ability to work independently or as part of a team.

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