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Data Engineer

Job description


  • Take ownership of end-to-end software development and support for projects, including tasks such as software product implementation and administration, application design, development, testing, and support.
  • Develop frameworks and technical features to facilitate faster implementation of Openshift Kubernetes-based applications.
  • Conduct proof-of-concepts (POCs) involving new data technologies, container platforms, sidecars, and daemonsets.
  • Design and build application frameworks for seamless data integration.
  • Create technical documentation, such as solution designs and program specifications for target solutions.
  • Engage in the design and development of various applications, including software applications, data integration, user interfaces, and automation.


  • Possess more than 6 years of hands-on experience in implementing large-scale data warehouse and/or analytics platforms within the financial services industry, with a strong functional understanding of products and services offered in the retail banking sector.
  • Demonstrate experience in end-to-end solutioning for closed-loop credit portfolio analytics systems, covering areas such as data sourcing, scorecard authoring and implementation, and integration with channels/product processors (preferably SAS Intelligent Decisioning).
  • Familiarity with deploying stateless and stateful workloads on Openshift Kubernetes-based platforms.
  • Familiarity with data integration and implementation of decisioning rules.
  • Experience working with databases such as Oracle.

How to Apply:

To apply, please click "APPLY NOW" or email Sheryl Oon at Data provided is for recruitment purposes only *LI-IT

Due to the volume of applications received, we regret to inform you that only shortlisted candidates will be notified.

JTK Number: JTKSM 995 | Company Registration Number: 201301019088 (1048918-T)

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