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Lead Data Engineer

Resource Logistics, Inc.

  • Remote, TX
  • 22 days ago
  • Remote

    Highlights

    Data Engineering & Development Design and implement scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub). The role involves building cloud-native data pipelines, enabling advanced analytics, and supporting enterprise data integration initiatives.

    Numbers & Facts

    LocationRemote, TX (
    Remote
    )
    IndustryMedical Devices and Supplies
    Company Size500 to 999 employees

    Description

    Job Title/Role Lead Data Engineer
    Mandatory Skills GCP & Big Query
    Detailed JD We are seeking a highly skilled Data Engineer with strong expertise in Google Cloud Platform (GCP) and BigQuery to support the design, development, and optimization of scalable data solutions. The role involves building cloud-native data pipelines, enabling advanced analytics, and supporting enterprise data integration initiatives.

    Data Engineering & Development
    • Design and implement scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub)
    • Develop and optimize data models and schemas in BigQuery for high-performance analytics
    • Build and maintain ETL/ELT pipelines for ingesting structured and unstructured data
    • Implement data partitioning, clustering, and query optimization strategies in BigQuery
    • Ability to interpret and convert SQL, and CCL Scripts into a BigQuery along with integration with GCP.

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