Cerecore - Nashville, TN

posted 2 months ago

Full-time - Mid Level
Nashville, TN
501-1,000 employees
Professional, Scientific, and Technical Services

About the position

CereCore is seeking a GCP Cloud Engineer to join our team in Nashville, TN. This role involves designing, building, and monitoring data platforms and pipelines to meet product requirements while ensuring scalability. The engineer will work collaboratively with various stakeholders to implement automated workflows, promote data security best practices, and mentor team members, all while adhering to data engineering standards and best practices.

Responsibilities

  • Work with data engineers, data architects, data scientists, and other internal stakeholders to understand product requirements and design, build, and monitor data platforms and pipelines.
  • Implement automated workflows that lower manual/operational costs and define SLAs for timely delivery of data.
  • Enable a self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.
  • Promote a collaborative team environment prioritizing effective communication and team member growth.
  • Design and create real-time data pipelines that accelerate the time from idea to insight.
  • Adhere to and support data engineering best practices, processes, and standards.
  • Produce high quality, modular, reusable code that incorporates best practices.
  • Help promote and support data security best practices that align with industry standards and regulatory requirements.
  • Mentor team members on complex data projects and following the Agile process.
  • Lead data analysis efforts and solution proposals to data-related problems.
  • Lead implementation of unit and integration tests and conduct performance testing where appropriate.
  • Be a leader in the HCA data community, evangelizing data engineering best practices and participating in community events.

Requirements

  • Bachelor's degree in Computer Science or related technical field.
  • 7+ years of experience in a data engineering, data architecture, or related roles.

Nice-to-haves

  • Google Cloud Certified Professional Data Engineer (Preferred)
  • Microsoft Certified: Azure Data Engineer (Optional)
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