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Data Analytics Production Engineer

2 months ago

Norfolk, Virginia, United States Careers@Gov Full time
About the Role

We are seeking a highly skilled Data Analytics Production Engineer to join our Data Technology and Architecture (DTA) Department within the Technology Group (TG) in the Monetary Authority of Singapore (MAS).

Key Responsibilities
  • Technical Leadership
    • Drive production engineering related initiatives with a team of skilled production engineers
    • Be directly responsible for the delivery of complex production engineering projects within DAE
    • Establish production engineering best practices, day 2 operating models, methodologies, and standards across team and MAS
    • Stay up to date on emerging methods and technologies that complement data science trends
  • Collaboration and Communication
    • Collaborate effectively with DAE's Data Science (DS) and Product Management (PM) teams to translate and host data science products on enterprise data science platforms (EDSPs) owned and managed by the PE team
    • Work with other TG divisions such as Technology Architecture and Engineering (TAE), Cyber Security (CySD) and Data Collaboration Platforms (DCP), and identify requirements to enable scalable and secure EDSPs that are well integrated within MAS's data and enterprise architecture
    • Promote the growth of the Data Analytics Community of Practitioners (DACoP) through organisation of workshops, training sessions, and forums to foster greater awareness of engineering best practices within MAS
  • Team Player
    • Support any TG, DTA, DAE initiatives as required
    • Strengthen DAE's positive and open working norms
Requirements
  • Bachelor's degree, preferably in Computer Science, Information Systems Management, Engineering, or another related field
  • Excellent platform and data engineering skills, with at least 3 years of prior experience delivering enterprise data science or big data platforms within public service and/or financial services industry
  • Familiarity with various database technologies such as MSSQL and MySQL. Working experience with both structured and unstructured datasets a must
  • Working experience in developing DevSecOps and MLOps pipelines, either on premise or on cloud
  • Knowledge on configuring popular operating systems such as Linux and Windows against CIS standards
  • Experience setting up AWS or GCP services a plus
  • Good appreciation of common cybersecurity risks and controls
  • Comfortable working on multifaceted problems in an agile environment. Demonstrate ability in overcoming business and technical constraints and deliver platforms necessary to productise data science products in MAS
  • Strong presentation and communication skills. Ability to explain technical concepts to a non-technical / business / senior management audience is a must