Data Engineer at AIS - Applied Information Sciences

Remote
AIS - Applied Information Sciences

Title: Data Engineer

  • Location: United States

As an Data Engineer you will spend your days finding ways to unlock value from large sets of data in an Azure environment in support of executive decision making and daily operations. You’ll do so as part of a complete product team including user experience designers, business analysts, and software engineers/developers. You’ll do so in a modern data science tech stack of open source tools and cloud services.

This is remote position.

Profile of Success

  • Support and develop data flows by developing processes that verify, standardize, and scale data input, transformation and storage.
  • Expert knowledge in Data Migration, Data transfer and Sql query script writing.
  • Self-starter and quick learner that is capable of finishing Data interface projects with minimal supervision.
  • Collaborate with Data Analysts, Visualization Experts, and Customer-facing advisors to support and develop our data and analytics reporting offerings.
  • Research and implement cutting edge solutions to solve challenges related to ETL/ELT, data processing, and analytics.
  • Support efforts by the Data Science and Data Analytics teams.
  • Discover non-functional requirements, risks and enterprise strategy deviations while working with project teams.
  • Identify appropriate data sources for application use.
  • Profile and analyze data
  • Create or validate system context diagrams, logical data models, and integration designs.
  • Generate data flow diagrams (DFD)
  • Create or validate data mappings
  • Ensure new data sources, mappings, and models are correctly captured in enterprise repositories.
  • Conduct technical reviews to ensure the application data models and flows have been correctly implemented.
  • Participate in Integration/System testing
  • Discover non-functional requirements, risks and enterprise strategy deviations while working with project teams.
  • Identify appropriate data sources for application use.
  • Profile and analyze data
  • Create or validate system context diagrams, logical data models, and integration designs.
  • Generate data flow diagrams (DFD)
  • Create or validate data mappings
  • Ensure new data sources, mappings, and models are correctly captured in enterprise repositories.
  • Automate the external data interfaces and the Power Automate flows to replace manual steps

Desirable Skills

  • Experience with modern data structure design and data engineering
  • Experience with Azure Data Factory, COSMOS, Azure SQL, Azure Synapse Platform and Data Lakes and Data Warehouse tools and technology
  • A drive to learn and share knowledge about emerging data science tools and practices
  • 7 years relevant experience
  • Bachelor’s degree in Computer Science or similar
  • Ability to obtain a USCIS Public Trust Clearance

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