Database Administrator
4 weeks ago
About Sparecode Consulting LLP :
Established in 2016, Sparecode Consulting LLP is a rapidly growing IT services and consulting company based in India. We provide world-class services and solutions to clients across the globe. For more information, please visit our website : Sparecode Consulting.
Job Description :
Job Title : MSSQL Database Administrator
Location : Kopar Khairane, Navi Mumbai
Position Overview :
We are seeking an experienced SQL Database Administrator with at least 3 years of hands-on experience. The ideal candidate will be responsible for maintaining, optimizing, and ensuring the readiness of our database servers, while supporting a growing development team with data modeling, performance tuning, and Azure cloud integration.
Key Responsibilities :
- Install, configure, and maintain production and development SQL databases, including backup, recovery, and patching.
- Manage high-availability clusters, configuring mirroring, log shipping, replication, and Always On.
- Oversee Azure SQL Database instances, ensuring high availability, performance, and security.
- Implement and manage Azure SQL Data Sync and Azure SQL Managed Instance.
- Optimize and monitor performance for both on-premises and Azure SQL databases.
- Support database migration to Azure, including assessment, planning, and execution.
- Collaborate with development teams for query and schema optimization.
- Conduct routine database maintenance, such as index optimization and integrity checks.
- Participate in on-call rotations, including shifts, late evenings, and weekends as necessary.
- Demonstrate excellent written and verbal communication skills.
Required Skills :
- Minimum of 4 PLUS years of experience as a SQL Database Administrator.
- Hands-on experience with SQL Server high-availability and disaster recovery solutions.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and in a team environment.
- Solid understanding of database concepts, performance tuning, and query optimization.
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