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Data Engineer

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Description

  • Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions.
  • Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
  • Experience with Microsoft SQL Server and relational databases.
  • Ability to design, implement, and maintain ETL pipelines.
  • Experience with Databricks and Spark
  • Experience with productivity tools such as GitHub Copilot
  • Ability to innovate, think critically, and break down problems.
  • Ability to handle tasks on multiple projects and navigate competing priorities.
  • Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
  • Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
  • Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
  • Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.


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