Administrator (Database Administrator)

20 hours ago


Coimbatore, India MaxVal Group, Inc. Full time
About MaxVal: MaxVal started as an IP services company in 2004, with a keen focus on efficiency, cost-effectiveness, and continuous improvement through metrics-based processes. Our focus on these core values led to the tech-enablement of our offerings even before this buzzword became an industry standard. Over the years, MaxVal developed many internal applications to increase our quality and efficiency, and customer satisfaction. Today, MaxVal serves over 600 clients across the full IP life cycle with the industrys leading products and services. Install, configure, upgrade, and maintain SQL Server and MongoDB databases.
Manage database security, access control, and auditing .
Perform database backup, restore, disaster recovery, and high availability setup .
Monitor, troubleshoot, and optimize database performance, queries, and indexing .
Automate routine DBA tasks using scripting (PowerShell, Bash, or Python) .
Collaborate with DevOps teams for CI/CD integration and cloud database deployments .
Provide 24x7 production support for critical database systems on a rotational basis.
Bachelor's degree in C omputer Science, Information Technology, or related field .
~1-2 years of proven experience as a Database Administrator (SQL & MongoDB) .
~ Strong knowledge of SQL Server administration (installation, clustering, HA/DR, tuning).
~ Hands-on experience with MongoDB administration (replica sets, sharding, upgrades, backups).
~ Proficiency in writing and optimizing SQL queries & stored procedures .
~ Experience with database monitoring tools (SQL Profiler, MongoDB Atlas, Grafana).
~ Strong understanding of security, compliance, and data governance best practices . Knowledge of scripting languages for automation

Experience with cloud database platforms (AWS RDS, Azure SQL, MongoDB Atlas).
Familiarity with Kubernetes, containers, and database orchestration .
Exposure to Agile/DevOps practices and CI/CD pipelines.
Knowledge of big data ecosystems and integration with analytics tools.

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