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.