Dataops engineer - database administration

Role : Data Ops Engineer – Database Administration Location : Chennai/Madurai (Hybrid)
Experience : 3–7 years
We are looking for a skilled and proactive Data Ops Engineer with strong expertise in Database Administration (DBA) to join our team.

The ideal candidate should have a solid understanding of modern data infrastructure, SQL Server internals, and performance tuning, along with excellent problem-solving and communication skills.

Familiarity with AI-enhanced monitoring and automation will be considered a strong advantage as we evolve toward intelligent operations.
Key Responsibilities
Administer and manage SQL Server databases including Always On Availability Groups (AAGs) and Failover Cluster Instances (FCIs)
Optimize performance using advanced query tuning, indexing strategies (clustered, non-clustered, filtered), and execution plans
Troubleshoot and resolve complex issues like blocking, deadlocks, and slow queries
Implement modern DBA practices aligned with Dev Ops/Data Ops principles
Automate routine DBA tasks through scripts and tools (e.g., Power Shell, T-SQL)
Monitor and manage cloud-based databases (e.g., Azure SQL, AWS RDS)
Collaborate with engineering teams to ensure high availability, scalability, and resilience of data systems
Maintain and enhance database backup, restore, and disaster recovery strategies
Required Skills
Strong knowledge of SQL Server architecture and internals
Proven experience in performance tuning, query optimization, and index strategies
Proficient in T-SQL scripting and database automation
Experience troubleshooting live database issues and identifying bottlenecks
Hands-on with cloud database services (Azure SQL, AWS RDS, etc.)
Excellent communication and cross-functional collaboration skills
Strong analytical and critical thinking abilities
Preferred / Advantageous Skills
Experience with Oracle and Postgre SQL database administration
Familiarity with AI-powered database monitoring tools (e.g., Dynatrace, Solar Winds with ML models, AIOps platforms)
Exposure to CI/CD pipelines and database Dev Ops tools
Experience with predictive analytics for capacity planning or anomaly detection
Knowledge of containerized environments (Docker, Kubernetes)
Experience with No SQL and Big Data platforms
Soft Skills
Clear and effective communicator
Fast learner, adaptable to new technologies and environments
Self-starter with a collaborative mindset