Database Administrator I in Rogers, AR at Advantage Solutions

Date Posted: 1/3/2020

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    5214 West Village Parkway
    Rogers, AR
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    1/3/2020

Job Description

Database Administrator I

At our Company, we grow People, Brands, and Businesses! We are seeking a dynamic Database Administrator I who will design and support database and table schemas for new and evolving data brought into the warehouse. Monitor and troubleshoot performance issues on the data warehouse servers.  Define and promote the team’s design principles and best practices for data warehousing architecture and techniques.  Research and promote new tools and techniques to shape the future of the data warehouse environment.  Work with business teams to be able to define requirements for real-time reporting.

Take this opportunity to join North America’s leading business solutions provider and build your career working with amazing people in a growing industry! Apply today!

What we offer:

  • Full-Time Benefits (Medical, Dental, Vision, Life)
  • 401(k) with company match
  • Training and Career Development
  • Generous Paid Time-Off 

Responsibilities:

  • Design and support database and table schemas for new and evolving data brought into the warehouse.
  • Monitor and troubleshoot performance issues on the data warehouse servers.  
  • Define and promote the team’s design principles and best practices for data warehousing architecture and techniques.  
  • Research and promote new tools and techniques to shape the future of the data warehouse environment.  
  • Work with business teams to be able to define requirements for real-time reporting.

Qualifications:

  • Bachelor's Degree in Computer Science, Information Technology or a related discipline or equivalent experience required
  • 2 years of relevant experience in Database Administration
  • Excellent written communication and verbal communication skills
  • Analytical approach with strong ability to uncover and solve problems
  • Strong background indexing, performance tuning, and capacity planning for large datasets (> 1.5TB)
  • Understanding of enterprise features such as Partitioning, Column Store Indexes, and Table Compression