DataOps Engineer – Database Administration

Experience Required: 3–7 Years
Salary: Best in Industry

We are looking for a skilled and proactive DataOps Engineer with strong Database Administration expertise to join our growing team. If you have deep knowledge of SQL Server internals, database performance tuning, and modern DataOps practices, and are passionate about building scalable, resilient data systems, this opportunity is for you.

Familiarity with cloud databases, automation, and AI-driven monitoring will be a strong advantage as we evolve toward intelligent operations.

• Administer and manage SQL Server databases, including AlwaysOn Availability Groups (AAGs) and Failover Cluster Instances (FCIs).
• Optimize database performance through advanced query tuning, indexing, and execution plans.
• Troubleshoot and resolve issues such as blocking, deadlocks, and slow queries.
• Automate DBA tasks using PowerShell, T-SQL, and modern DataOps practices.
• Monitor and manage cloud databases (Azure SQL, AWS RDS, etc.)
• Collaborate with engineering teams to ensure high availability, scalability, and disaster recovery readiness.
• Implement database backup, restore, and DR strategies aligned with enterprise needs.

• Strong knowledge of SQL Server architecture and internals.
• Hands-on experience in performance tuning, query optimization, and indexing strategies.
• Proficiency in T-SQL scripting and database automation.
  
• Proven ability in troubleshooting live database issues and bottlenecks.
• Hands-on with cloud database services (Azure SQL, AWS RDS).
• Excellent communication and cross-functional collaboration skills.
• Strong analytical and problem-solving abilities.

• Experience in Oracle or PostgreSQL administration.
• Familiarity with AI-powered monitoring tools (Dynatrace, SolarWinds with ML models, AIOps).
• Exposure to CI/CD pipelines and database DevOps tools.
• Knowledge of predictive analytics for capacity planning or anomaly detection.
• Understanding of containerized environments (Docker, Kubernetes).
• Experience with NoSQL and Big Data platforms.
• A Bachelor’s degree in Computer Science, Information Technology, or related field.

• Strong understanding of modern database systems, automation, and DataOps practices.
• Ability to collaborate with engineering and business teams to deliver resilient data systems.
• Clear communication skills with the ability to explain technical insights to stakeholders.
• A growth mindset, adaptability to new technologies, and eagerness to learn.

• Opportunity to work on cutting-edge database and DataOps practices.
• Collaborate with experts across data engineering, AI, and cloud technologies.
• Access to learning platforms, certifications, and mentoring.
• Leadership visibility and opportunities to grow within a fast-scaling team.
• Attractive performance-linked rewards.

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