DataOps Engineer – Database Administration

17 hours ago

tamil nadu, India OptiSol Business Solutions Full time

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

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