GCP Data Engineer

Euclid Innovations

  • Charlotte, NC
  • 30+ days ago

    Highlights

    Process large datasets using Dataflow and Dataproc (Spark/PySpark). Build ETL/ELT workflows using Python and Airflow.

    Numbers & Facts

    LocationCharlotte, NC

    Description

    Required Skills:
    • Strong Python development experience.
    • Hands-on experience with Google Cloud Platform (GCP).
    • Apache Airflow (DAG development).
    • Dataflow.
    • Dataproc (Spark/PySpark).
    • BigQuery.
    • SQL & Cloud SQL.
    • Dataplex.
    Responsibilities:
    • Develop and maintain scalable data pipelines on GCP.
    • Build ETL/ELT workflows using Python and Airflow.
    • Process large datasets using Dataflow and Dataproc (Spark/PySpark).
    • Optimize BigQuery and SQL-based data solutions.
    • Collaborate with cross-functional teams in an Agile environment.

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