Data Engineer

7 years

0 Lacs

Posted:18 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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About the Role

Data Engineer

end-to-end data pipelines


Key Responsibilities

  • Design and implement

    scalable ETL/ELT pipelines

    using

    Dataflow, Dataproc (PySpark)

    , and

    Cloud Composer (Airflow)

    .
  • Work with

    BigQuery

    for

    schema design, performance tuning, and SQL optimization

    .
  • Build and maintain

    data models

    (Star and Snowflake schema) for analytics and reporting.
  • Develop

    Python and SQL-based scripts

    for transformations and automation.
  • Integrate data from diverse sources while ensuring

    data quality and governance

    .
  • Collaborate with

    data scientists, analysts, and product teams

    to deliver business-driven solutions.
  • Ensure

    security, scalability, and compliance

    across all data systems.
  • (Bonus) Utilize

    Cloud Functions and Pub/Sub

    for event-driven data processing.


Must-Have Skills

  • 5+ years of hands-on experience

    with GCP-based Data Engineering.
  • BigQuery expertise

    (mandatory).
  • Strong knowledge of

    ETL/ELT pipeline development

    using GCP tools.
  • Proficiency in

    Python

    and

    SQL

    .
  • Solid understanding of

    data modeling and warehouse concepts

    .

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