This site uses cookies. To find out more, see our Cookies Policy

SQL Data Warehouse Developer in Glen Allen, VA at Vaco

Date Posted: 8/8/2018

Job Snapshot

Job Description

You have technical expertise; we have access to the best career opportunities in the IT industry. Partner with Vaco, and you'll have an advantage over your competition! Our client is seeking a talented SQL Data Warehouse Engineer. Instead of being another faceless resume, let Vaco promote your strengths to the hiring manager while preparing you for that specific interview.

Our recruiters will provide you with great insight about trends in the market - keeping you up to date on compensation expectations, company culture and growth opportunities. If you're an experienced Software Engineer, and you want to partner with the best, apply today!

***NO THIRD PARTIES - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time***

Data Warehouse Developer candidates need to be enthusiastic, eager to learn, self-motivated, detail-oriented and work well in a team environment. The position is responsible for designing, developing and maintaining data warehouse and analytics architecture to meet business analysis and reporting needs.

  • Work with the architect and business partners to fashion out the technical vision for applications in the enterprise Data Warehouse employing Microsoft SQL Server, SSIS, SSAS, SSRS, and Azure Machine Learning technologies.
  • Responsible for supporting our reporting team, offering industry standards, best practices, and enhancing existing solutions.
  • Review, analyze, modify, and create ETLs, utilizing SSIS and testing, debugging, integration processes.
  • Responsible for documenting technical needs for ETL processes and databases, and ensuring optimal technical infrastructure is utilized.
  • Responsible for developing and maintaining Extract Transform and Load (ETL) scripts within SSIS and TSQL between operational and warehouse databases.
  • Maintains OLAP cubes and dimensions.
  • Helps facilitate the development of reporting and dashboard solutions that interact with the data warehouse.
  • Leverages cloud-based technologies.
  • Design and develop methods to improve warehouse and SSAS load processes24 hours a day, 7 days a week rotational support for the data warehousing environment.