Mainframe IDMS Database Administrator

SUMMARY:
Psybergate is an IT company that builds bespoke software solutions and provides highly skilled resources to its clients.
We are looking for a Mainframe IDMS Database Administrator (DBA) to join our financial services client based in Sandton for a 12-months contract role.

POSITION INFO:
What you will be doing: 

• Create and maintain business database objects within an IDMS and DB2 subsystem.
• Perform database tuning to ensure the DBMS functions at optimal levels.
• Schedule database maintenance tasks.
• Troubleshoot database and DBMS errors and provide solutions to support business when required.
• Provide input and implement operational and business strategies, industry best practices and ensure necessary ITO governance is in place.
• Perform database monitoring and notification to ensure optimal data access, to support business database applications in line with contractual agreements.
• Perform a database consultation role and provide design solutions to Business Development and Service Management to support initiatives when required for current and future projects.
• Be an integral part of the disaster recovery (DR) team which designs, performs and documents disaster recovery procedures.
• Service all incidents, changes and requests and ensure that SLAs are met. 
• Enforce security standards to prevent data being compromised and to maintain database integrity.
• Provide managerial reports of database utility, capacity and utilisation in order for them to make informed decisions.
• Maintain relationships with suppliers for incident handling.

• IT degree or equivalent industry accreditation preferred
• 8 years within the IT industry with at least 5 of those years being an operational DBA within a large complex corporate environment
• 4 years working experience on IDMS/DB2 databases.
• Understanding of mainframe operating system concepts and experience in another mainframe discipline.
• Experience in participating in a DR exercise.

• Z/OS
• DB2 Mainframe
• IDMS Database