Database Administrator at IG Sacco

The Database Administrator will ensure performance monitoring and management of database, data warehouse components, supporting infrastructure and general ICT systems.

Key Responsibilities.

• Installing database management systems (DBMS) using best practice; ensure compliance with DBMS license agreements and maintain upgrades and critical patches.
• Monitor database performance, identify bottlenecks, and implement optimization strategies i.e indexing and query tuning to ensure efficient data access.
• Implement and manage database security, including user access control, roles, permissions, and encryption, in line with security policies and regulatory requirements.
• Monitoring including systems logs, events and event correlation, maintaining performance statistics and setting baseline statistics.
• Monitoring and managing the high availability components including RAC, Data guard, RMAN, ASM and the underlying infrastructure for mission critical databases.
• Take lead role in the various I.T. audits in providing necessary information and enforcing closure of audit, change management and compliance issues.
• Creating and maintaining database documentation, including data standards, procedures and definitions for the data dictionary (metadata) and maintain all technical documentation relating to database management.
• Communicating regularly with technical, applications and operational staff to ensure database integrity and security.
• Conduct user training and provide information on revised and new applications.

Minimum Requirements.

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology or related discipline from a recognized institution.
• A minimum of three (3) years in database technology with experience deploying database and data warehousing technologies (e.g. High Availability, Real Application Clusters, ESBU Backups, Partitioning, Oracle DataGuard) in production environments.
• Oracle DBMS 11g/12c OCP certification as well as strong SQL and PLSQL skills including data warehouse objects such as partitioning and materialized views.