Data Engineer

1 week ago


Salt Lake City, United States Morph Enterprise Full time

Requirements:

  • – Candidate must possess a bachelor’s degree from an accredited college in Computer Science, Information Technology, Business, or equivalent experience.
  • Experience – Candidates must have 5+ years of experience with BI reporting tools like Power BI or Tableau.
  • Experience – Candidates must have 3+ years of experience with large sets of regulated data, designing efficient data structures, and database schemas, as well as working with distributed systems architecture and CosmosDB.
  • Experience – Candidates must have 3+ years of experience with SQL and Python, with a focus on building reusable frameworks.
  • Experience – Candidates must have 3+ years’ experience with integration technologies and protocols such as SOAP, REST, JSON and APIs, with experience in handling streaming data.
  • Experience - Data Lake and/or Date Warehousing – Experience with planning and implementing a data warehouse, data lake, or other data repositories is required.
  • Experience - Hands-on experience in Azure Data Factory, DataBricks, Azure Storage, SQL Pools, CI/CD Pipeline Design along with other Azure services like functions and Logic apps.
  • Relationships – Candidates must demonstrate the ability to work well with others of all personality types while demonstrating problem-solving and the ability to prioritize tasks.
  • – Candidates must demonstrate the ability to communicate in verbal and written form with both technical and non-technical personnel.
  • – Candidates must demonstrate success as a self-starting, hardworking and inquisitive worker.
  • – Candidates must demonstrate the ability to work with cross-functional teams to deliver on a common goal.
  • - Candidates must demonstrate experience in an agile product environment to include deep understanding and experience with agile methodologies.

Bonus skills:

  • Azure Data Engineering, Azure DBA, Azure Developer or others related to the position
  • Driven Design – Understanding and experience with Domain Driven Design
  • or Education Domains and their data standards – Ed-Fi, CEDS, SIF, GAAP, etc.
  • and Experience with Data Privacy, Data Governance, and Data Cataloguing principles.
  • Learning – Knowledge of best practices and experience with an LLM.


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