Oracle Database Administrator (Staffing)

Vanguard International Semiconductor Corporation (VIS); Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Vanguard International Semiconductor Corporation (VIS) in Singapore is seeking an experienced Oracle DBA to support CIM and related manufacturing systems, ensuring BAU activities align with SLAs and production needs. You will perform database monitoring, RMAN backups including cloning, expdp/impdp, partitioning, LOB management and SQL tuning to keep Oracle databases operating efficiently.

The role requires shift-based support and collaboration with internal teams for data flow between Oracle and

Qualifications

• Solid hands-on experience as an Oracle DBA in production environments and BAU support.
• Proven experience managing L1 and L2 DBA tasks (incident handling, monitoring, performance tuning, backup and recovery).
• Strong knowledge of RMAN, AWR/ASH/ADDM, SQL tuning and Oracle performance optimisation techniques.
• Practical experience with expdp/impdp, partitioning, advanced compression, LOBs and related Oracle features.

Responsibilities

• Act as Oracle DBA for CIM and related manufacturing systems.
• Ensure effective BAU support activities in line with internal customer needs and SLAs.
• Perform database monitoring, session management, lock analysis, long-running query handling and hung session resolution.
• Manage L1 and L2 DBA tasks, including incident handling, root cause analysis and preventive actions.
• Perform backup and recovery using RMAN, including database cloning.

Skills

Oracle DBA

BAU support

Incident handling

Performance tuning

Scripting (Shell/Python)

SQL tuning

Tools

RMAN

expdp/impdp

partitioning

advanced compression

LOB management

AWR/ASH/ADDM

Job description

• Act as Oracle DBA for CIM and related manufacturing systems.
• Ensure effective BAU support activities in line with internal customer needs and SLAs.
• Perform database monitoring, session management, lock analysis, long-running query handling and hung session resolution.
• Manage L1 and L2 DBA tasks, including incident handling, root cause analysis and preventive actions.
• Perform backup and recovery using RMAN, including database cloning (e.g. duplicate database).
• Use Oracle utilities and features such as expdp/impdp, partitioning, advanced compression, LOB management and concurrent statistics.
• Conduct performance tuning using SQL Plan Management (SPM), hints and SQL Tuning Advisor.
• Analyse AWR/ASH/ADDM reports and implement tuning recommendations.
• Troubleshoot database issues such as TNS/network connectivity, tablespace/FRA utilisation, user privilege problems and alert log errors.
• Manage shift duties together with other team members to support production operations.
• Optimisation, Automation & AI-Assisted Operations
• Identify opportunities to automate routine DBA tasks (monitoring, reporting, housekeeping, capacity checks) using scripting and available tools.
• Leverage the company’s on‑premise ChatGPT Engine and GitHub Copilot to improve productivity in scripting, documentation and problem analysis.
• Collaborate with internal big data teams using Hadoop and Greenplum platforms to ensure

efficient data flow between Oracle databases and big data systems.

• Support initiatives to integrate database telemetry with big data / analytics platforms for advanced monitoring, anomaly detection and performance insights

Requirement

• Solid hands‑on experience as an Oracle DBA in production environments, including BAU support.
• Proven experience managing L1 and L2 DBA tasks (incident handling, monitoring, performance tuning, backup and recovery).
• Strong knowledge of RMAN, AWR/ASH/ADDM, SQL tuning and Oracle performance optimisation techniques.
• Practical experience with expdp/impdp, partitioning, advanced compression, LOBs and related Oracle features.
• Good understanding of database security, user/role management and auditing concepts.
• Experience in troubleshooting connectivity issues, storage/tablespace problems and database availability incidents.
• Familiarity with scripting (e.g. Shell, Python or similar) for automation of DBA tasks.
• Ability to work in a shift-based support model and respond to production issues in a timely manner.