System Engineer

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;
• Perform software installation on-premises and on 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;
• Document, manage and maintain data models, ETL pipelines, data warehouse, data management solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time);
• Monitor and report SLAs for system engineering related service requests;
• Ensure compliance to data security and governance standards stipulated by customers;

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, Anaconda, Kubernetes will be advantageous;
  Proficiency in installation and configuration of CI/CD tools e.g. GitLab, JFrog, Nexus Repository will be advantageous;
  Familiar with enterprise Kubernetes platform e.g. Redhat OpenShift will be advantageous;
  Familiar with big data technologies e.g. Hadoop, Spark, Hive, HBase etc.;
  Familiar with open-source data ingestion technologies e.g. Flume, Kafka, NiFi etc.; and
• 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