Senior Murex Datamart Engineer | Risk & Finance Reporting

RAPSYS TECHNOLOGIES PTE LTD; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Kuala Lumpur is seeking a Senior Murex Developer to design, implement, and support Murex Datamart reporting for financial services. The role focuses on delivering accurate, scalable reporting aligned with regulatory needs and business requirements.

The ideal candidate has 6–9 years of hands-on Murex development, strong SQL and database skills, and experience across Windows and Linux environments to ensure high‑performance data delivery and data integrity across

Qualifications

• 6–9 years of hands-on Murex development experience.
• Strong expertise in Murex Datamart configuration and reporting.
• Proficient in SQL, Oracle, and SQL Server 2012 databases.
• Proficient in Java and/or Python for integration tasks.
• Experience on Windows Server 2012 and Linux environments.

Responsibilities

• Design, develop, and support Murex Datamart reporting solutions.
• Configure Datamart schemas, feeders, batches, and extraction processes.
• Develop and optimize SQL queries and stored procedures.
• Integrate Murex Datamart with Oracle and SQL Server 2012.
• Provide production support and troubleshoot Datamart issues.
• Collaborate with risk, finance, and infrastructure teams.
• Automate processes using Java, Python, and Linux scripting where applicable.
• Ensure data integrity and reconciliation across reporting layers.

Skills

Murex Datamart

SQL

Oracle

SQL Server

Java

Python

Windows Server 2012

Linux

Troubleshooting

Job description

RAPSYS TECHNOLOGIES PTE LTD in Kuala Lumpur is seeking a Senior Murex Developer to design, implement, and support Murex Datamart reporting for financial services. The role focuses on delivering accurate, scalable reporting aligned with regulatory needs and business requirements.

The ideal candidate has 6–9 years of hands-on Murex development, strong SQL and database skills, and experience across Windows and Linux environments to ensure high‑performance data delivery and data integrity across