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Accountabilities:

  • Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks and Microsoft Fabric.
  • Define modeling patterns and governance frameworks across the data lifecycle.
  • Lead design reviews and guide teams in adopting scalable architectures.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 7+ years of experience in data engineering.
  • Proficiency with Databricks, Spark, Delta Lake, dbt, and Python.

Benefits:

  • 100% remote work (ET or CT work hours preferred).
  • Collaborative and inclusive work environment.
  • Opportunities for professional growth and development.

Indiana General

Indiana General is focused on enhancing healthcare by delivering high-quality data products that support clinical and operational outcomes. They provide a collaborative and inclusive work environment with opportunities for professional growth and development.

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