Cloudologic
Website:
cloudologic.com
Job details:
Company Description
Cloudologic is a leading cloud consulting and IT service provider specializing in cloud operations, cybersecurity, and managed services. With headquarters in Singapore and a strong presence in India, we leverage expertise from two tech-driven regions to deliver innovative solutions. Over the last decade, we have built a global reputation for reliability and excellence. Our commitment to exceptional service has made us a trusted partner for clients worldwide.
Role Description
This is a full-time, on-site role for an AWS Database Administrator located in Gurgaon. We are seeking a highly skilled and proactive Senior Database Administrator (DBA) with strong expertise in Oracle databases and AWS cloud platforms. The role involves managing mission-critical databases, ensuring high availability, performance optimization, security, and seamless integration across on-premise and cloud environments. The ideal candidate should have hands-on experience in database architecture, automation, troubleshooting, and cloud migration strategies.
Key Responsibilities :-
Database Administration & Management
- Install, configure, and maintain Oracle Databases (11g/12c/19c and above)
- Perform database provisioning, schema management, and patch upgrades
- Manage database lifecycle including development, testing, production, and decommissioning
- Handle database cloning, refreshes, and migrations
Performance Tuning & Optimization
- Monitor and optimize database performance using AWR, ASH, ADDM reports
- Analyze slow queries and optimize using indexing, partitioning, and execution plans
- Conduct regular health checks and performance audits
- Implement resource utilization strategies (CPU, memory, I/O)
Cloud Database Management (AWS)
- Manage and support databases on AWS RDS, Aurora, and EC2-hosted Oracle instances
- Configure and monitor CloudWatch alerts and metrics
- Handle database migrations from on-prem to AWS using tools like DMS
- Ensure cost optimization and right-sizing of AWS database resources
- Implement multi-AZ deployments and failover strategies
Backup, Recovery & High Availability
- Implement and manage backup and recovery strategies using RMAN
- Configure Data Guard / Active Data Guard / RAC environments
- Design and test Disaster Recovery (DR) plans
- Perform regular backup validation and restore testing
- Ensure minimal downtime and data loss (RPO/RTO compliance)
Security & Compliance
- Manage database security including user roles, privileges, encryption
- Implement data masking and auditing policies
- Ensure compliance with industry standards (ISO, SOC2, etc.)
- Monitor unauthorized access and vulnerabilities
Automation & Scripting
- Automate repetitive DBA tasks using Shell scripting / Python
- Develop scripts for monitoring, backups, and health checks
- Work with tools like Ansible, Terraform for infrastructure automation
Collaboration & Stakeholder Management
- Work closely with DevOps, application, and infrastructure teams
- Support developers with query tuning and database design
- Participate in release management and deployment activities
- Provide on-call support for production issues
Monitoring & Reporting
- Use tools like Oracle Enterprise Manager (OEM), AWS CloudWatch
- Generate reports on database performance, uptime, and incidents
- Maintain documentation for configurations, SOPs, and runbooks
Required Skills & Qualifications
- 6–7 years of hands-on experience in database administration
- Strong expertise in Oracle Database (11g/12c/19c)
- Hands-on experience with AWS (RDS, Aurora, EC2, DMS)
- Expertise in RMAN backup & recovery
- Experience with Data Guard / RAC (high availability setups)
- Strong knowledge of SQL & PL/SQL
- Experience in performance tuning and troubleshooting
- Good understanding of Linux/Unix systems
- Experience with monitoring and alerting tools
Preferred Qualifications
- AWS Certifications (e.g., AWS Certified Solutions Architect / Database Specialty)
- Experience with multi-database environments (MySQL, PostgreSQL)
- Exposure to DevOps tools (Docker, Kubernetes, CI/CD pipelines)
- Knowledge of data warehousing or big data tools is a plus
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