28 July 2020

A great opportunity for an experienced Data Engineer who is seeking out a career in the banking industry.

Mandatory Skill(s)

  • Possess a Bachelor’s Degree, preferably in the field of Computer Science, Software or Computer Engineering, Statistics or any other related field;
  • Has 5 to 7 years of relevant work experience;
  • Experience in using the following platforms: Kubernetes, Dockers , GKE, Google Cloud;
  • Has solid DevOps experience;
  • Possess good hands-on experience and strong in coding on platforms such as Python and Teraform;
  • Strong aptitude for numbers and comfortable handling large volumes of data;
  • Meticulous and organized with good interpersonal and communication skills.

Desirable Skill(s)

  • Has additional certifications related to Data Engineering


  • Work well with Engineering team to develop technical solutions, plans and configure in accordance to requirements from various teams such as the Business and Application teams;
  • Plan and build data platforms, systems and infrastructure efficiently for smart engines which empower critical business features by leveraging on background of distributed systems and scalable analytics;
  • Use the most optimized way to obtain engineering principals for running platform;
  • Finetune and conduct performance analysis regularly;
  • Support change and innovation;
  • Identify new ways of improving data infrastructure and big data technology with an eye to solve business problems along the way;
  • Assess problems and patterns that are common to produce standard solutions by building core services centrally and introduce technology frameworks for analytics, intelligence and data technology teams;
  • Initiate zero touch routines and automate system operations;
  • Improve system support, recovery, availability and performance by applying new technology and process;
  • Leverage and establish best practices for Big Data Platform;
  • Ensure platform efficiency and stability by performing application tuning, reviewing codes and sharing guidance to different application teams.
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