Principle Data Engineer

3 weeks ago


Scottsdale, United States CBTS Full time

Position Information:

Seeking skilled Principal Data Engineers who thrive in a highly collaborative, agile team environment. Engineers design elegant technical solutions for complex product requirements, deliver high quality code as part of a fast-moving agile team, and own the stability and quality of their domain. We would love to hear from talented engineers who share our passion for leveraging the latest technology to provide a best-in-class experience to our customers.


Responsibilities

  • with fellow data engineering and cross-functional data teams to build and deliver custom enterprise data warehousing and database applications.
  • estimate tasks, bugs, and spikes in your domain.
  • software that meets code quality standards and metrics.
  • productive internal/external working relationships.
  • manage risk, change, and uncertainty with support from your leader and peers.
  • a solid understanding of inter-team functional data dependencies and navigate appropriate communication channels for solving issues as they arise.
  • and implement new features while continuously improving quality of technical data products and database applications.
  • as a technical expert and engineer on an agile squad.
  • and execute long term vision of technical data products and database applications.
  • the architectural solutions across data warehousing and database applications.
  • and Lead communities of practice by mentoring engineers, creating, and enforcing standards, reviewing others code, and sharing knowledge and know-hows.
  • current on new cloud data solutions, design patterns, products, and development trends.
  • with problem resolution for customers and end users.
  • duties, as maybe assigned.


Skills and Experience:

  • knowledge of data engineering, database solution design, solid principles of data modeling.
  • 10+ years in data engineering and database technologies
  • in developing reusable common component data artifacts.
  • with Data Engineering and Cloud products
  • in various Data Engineering Methodologies
  • in data security best practices
  • in data accessibility best practices
  • problem solving and collaboration skills
  • verbal and written communication skills
  • Team Player
  • degree in Computer Science/Information Systems or comparable.


Technology Requirements

Required:

  • in SQL and Enterprise Data Warehousing
  • in Azure or similar cloud technologies
  • in building out ELT (Extract Load Transform) solutions
  • in SQL Server, Azure Synapse or similar.
  • in writing SQL Queries


Preferred:

  • of one or more modern database design and Reporting Data frameworks such as ELT, ETL or similar.
  • HUB – Enterprise or similar
  • Technologies – Azure Resources for Data Engineering


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