Job Description

What You'll Do

  • Apply advanced knowledge of Data Engineering principles, methodologies, and techniques to design and implement data loading and aggregation frameworks across broad areas of the corporation.
  • Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
  • Implement and optimize data solutions in enterprise data warehouses and big data repositories, leveraging distributed processing systems such as Snowflake or Databricks.
  • Design and develop robust data solutions utilizing Kimball data modeling techniques to support scalable analytics and external data products.
  • Develop, test, and maintain data pipelines using Python and dbt (data build tool) for data transformation and modeling tasks.
  • Work closely with product managers and stakeholders to deliver high-quality, external-facing data products, not just internal reporting.
  • Understand and enfo...
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