SQL Server Database Administrator Job at Uncharted Talent Inc, Canada

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  • Uncharted Talent Inc
  • Canada

Job Description

Job Description

Job Description

We are seeking an experienced SQL Server Database Administrator to manage and maintain our production SQL Server Platform as a Service (PaaS) databases. The ideal candidate will have a proven track record of optimizing database performance in a high-concurrency transaction environment and will play a critical role in ensuring the reliability and efficiency of our database systems.

Key Responsibilities:

  • Maintain and support production SQL Server PaaS databases, ensuring high availability and performance.
  • Implement and manage database partitioning strategies for large tables in live environments.
  • Optimize and reduce the number of indexes on high I/O tables based on usage analysis.
  • Work with and optimize .NET Entity Framework queries to enhance application performance.
  • Perform query plan analysis and maintenance to ensure efficient execution of database queries.
  • Utilize Azure portal features for database maintenance, monitoring, and automation.
  • Conduct index maintenance, analyze disk fragmentation, and monitor database size for optimal performance.
  • Collaborate with developers, DevOps, and technical leads to effectively implement, test, and deploy database updates.

Qualifications:

  • Minimum of 7 years of experience in maintaining production SQL Server databases.
  • Advanced knowledge of SQL Server PaaS management and performance tuning techniques.
  • Proven experience with database partitioning, index optimization, and query performance tuning.
  • Familiarity with Azure portal features related to database management.
  • Strong analytical skills with experience in query plan analysis and database performance monitoring.
  • Excellent communication skills, with the ability to work collaboratively across teams.
  • Experience managing Production databases in a similar high-concurrency environment.

Nice to Have:

  • Knowledge of data warehousing concepts and best practices.

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