DataOps Engineer – Database Administration

Role: DataOps Engineer – Database Administration
Location: Chennai/Madurai (Hybrid)
Experience : 3–7 years
We are looking for a skilled and proactive DataOps 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 AlwaysOn 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 DevOps/DataOps principles
- Automate routine DBA tasks through scripts and tools (e.g., PowerShell, 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 PostgreSQL database administration
- Familiarity with AI-powered database monitoring tools (e.g., Dynatrace, SolarWinds with ML models, AIOps platforms)
- Exposure to CI/CD pipelines and database DevOps tools
- Experience with predictive analytics for capacity planning or anomaly detection
- Knowledge of containerized environments (Docker, Kubernetes)
- Experience with NoSQL and Big Data platforms
Soft Skills
- Clear and effective communicator
- Fast learner, adaptable to new technologies and environments
- Self-starter with a collaborative mindset