The Data / Oracle Engineer is responsible for designing, developing, maintaining, and optimizing enterprise data platforms and Oracle-based systems that support business applications, reporting, analytics, and digital initiatives across the organization. An ideal candidate will have hands-on experience supporting databases, cloud infrastructure, and enterprise applications within an Oracle Cloud environment. The role provides hands-on technical expertise in Oracle databases, data engineering, integrations, and performance optimization, ensuring data availability, integrity, security, and scalability. Operating within a sovereign wealth fund environment, the role requires strong technical discipline, documentation rigor, and adherence to governance and change management standards.
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Core Responsibilities:
- Design, implement, and support Oracle database environments across development, test, and production.
- Perform database administration tasks including installation, configuration, patching, upgrades, backup, and recovery.
- Monitor database performance and availability, conduct tuning, and resolve complex performance issues.
- Implement high availability and disaster recovery solutions (e.g., Data Guard, RMAN, Autonomous Database, Exadata, OCI Load Balancer).
- Design and develop data pipelines, ETL/ELT processes, and integrations between Oracle databases and enterprise applications.
- Support data ingestion from multiple sources including ERP, HR, finance, and business systems.
- Ensure data consistency, accuracy, and reconciliation across systems.
- Proactively identify and resolve data and database performance bottlenecks.
- Optimize SQL queries, PL/SQL procedures, indexing strategies, and data structures.
- Ensure compliance with internal IT governance, data security standards, and audit requirements.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 7–10 years of experience in Oracle database administration and data engineering roles.
- Strong expertise in Oracle Fusion Environment, SQL, PL/SQL, performance tuning, and backup/recovery.
- Experience with data integration tools, ETL frameworks, and data pipelines.
- Familiarity with Linux/Unix environments and scripting (Shell, Python, etc.).
