Full-Time

SQL Database Administrator

Arete Technologies

Arete Technologies

No salary listed

Little Rock, AR, USA

In Person

Category
DevOps & Infrastructure (1)
Required Skills
Machine Learning
Requirements
  • Eight or more years of experience developing, maintaining and administering Microsoft SQL Server databases.
  • Bachelor’s degree in Computer Science or Information Science or equivalent work experience.
  • Involved in prior enterprise-level databases migrations and deployments.
  • Experience required in configuring SQL Server replication across data center.
  • Hands-on experience with Microsoft SQL Server versions 2017, 2016, 2014 and 2012.
  • Hands-on experience with SQL monitoring tools such as Red Gate and SQL Sentry.
  • Must have Education Client Experience.
Responsibilities
  • Perform Microsoft SQL database administration including software installations and configurations for SQL Server 2012/2014 to 2016/2017 including SSDT, SSIS, SSRS, SSAS and peripheral features/products such as log shipping, mirroring, and maintenance packs.
  • Troubleshoot complex systems to identify bottlenecks (SQL, I/O, hardware, query related, etc.) and resolve database related issues.
  • Capacity planning for Production, UAT, DEV and DR environments; platform migration and monitoring database growth and design, maintaining and ensuring High Availability solutions including replication, clustering, performance tuning.
  • Develop and enforce database standards and best practices including performance, security, monitoring policies and procedures along with researching improvements to enhance overall system performance.
  • Provide hands-on training, mentoring and support to current ADE – Network & Server Administration staff with Microsoft SQL Server databases.
Desired Qualifications
  • Experience with Business Intelligence and Data Warehouse products preferred.
  • Development experience with complicated DTS/SSIS Package coding and maintenance a plus.
  • Experience with Data Modeling Tools as well as creating and maintaining data models preferred.

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