system engineer / DevOps engineer (AMK)

System Engineer for Data Analytics Platform

Job Description

Work with stakeholders including customers, partners and colleagues on system level technical issues for Data Analytics Platform e.g. Dataiku, Denodo, Talend, Anaconda, QlikSense;

 Perform software installation on-premises and on Government cloud infrastructure;

 Perform software configuration e.g. user authorization, LDAP authentication, SSO etc.;

 Perform ad-hoc, monthly, quarterly and yearly patching for software and operating systems;  

 Monitor and report SLAs for system engineering related service requests;

 Ensure compliance to data and system security standards stipulated by customers e.g. IM8;

Academic Qualifications

 Recognized degree in Computer Science/Engineering, Information Systems, Information Technology or equivalent

Recognized professional or industrial certifications in relevant technologies or competencies.

Technical Knowledge/Skills/Competencies

Technical expertise in:

• Installation and maintenance of Relational/Non-relational/NoSQL database and enterprise data warehouse;
• Proficiency in installation and configuration of Dataiku, Denodo, Talend, Informatica, Anaconda, MicroStrategy, QlikSense, Kubernetes etc. will be advantageous;
• Proficiency in installation and configuration of CI/CD tools e.g. GitLab, JFrog, Nexus Repository will be advantageous;
• Familiarity with enterprise Kubernetes platform e.g. Redhat OpenShift will be advantageous;
• Familiarity with AWS platform and services will be advantageous;
• Scripting, programming and software development using e.g. Java, Python, SQL etc. for the purpose of system automation in Windows or RedHat Linux environments.
• Experience in designing, documenting, implementing and supporting data management and analytics solutions;
• Knowledge of CI/CD process for machine learning, computer vision and large language models will be advantageous

Maestro HR
damien lee tian hong
R1106726
16C8462