AVP, Data Platform Engineer, Data Platform Engineering

GIC Private Limited
Singapore, Singapore
14 May 2022
13 Jun 2022
Job Function
Industry Sector
Finance - General
Employment Type
Full Time
Data Strategy Group
Data Strategy Group (DSG) drives the Enterprise Data Management and Governance at GIC. We ingest, analyse and combine data with context across industries and asset classes that enables the delivery of enterprise data and insights to power GIC's investment processes and decisions. Together, we strive to build a high-performance enterprise data infrastructure to drive data into meaningful answers - using data, technology and trust to deliver and support GIC's data needs.

We are looking for a dynamic and self-organized team player with a passion for data to join us on this journey to make a difference.

As a Data Platform Engineer, you will be collaborating with a team of highly motivated peers in operating and maintaining data platforms for enterprise usage. As SME to the data platforms, you will provide advisory to stakeholders on the role of the data platforms in their application's end-to-end solution. In this role, you will be a self-starter and encouraged to think out of the box and interface with multiple business and technical stakeholders.

  • Support data platforms and ensure that they are available for the enterprise usage in accordance to agreed SLA in areas that includes configuration and set up tasks.
  • Apply a mixture of system, database and application knowledge towards analysing, tackle and resolve day-to-day operational incidents and advisory to business users or technical teams
  • Derive and analyse systems operations data (SLAs, customer satisfaction etc.) to identify actionable trends for continual improvements
  • Play an active role in the project coordinating between internal resources and third parties/vendors for project execution
  • Develop custom solution to ensure efficiency, availability, and sustainability of Data Platform

  • Bachelor's degree in Computer Science, Computer Engineering or equivalent
  • Familiar with enterprise databases using database technologies (Oracle PL/SQL, SQL)
  • Good knowledge of Linux family of OS
  • Exposure and knowledge in any of the following technologies is advantageous:
    • Data Visualisation - Tableau
    • Data Storage & Processing - SnowFlake
    • Data Virtualisation - Denodo
    • AWS
  • Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban
  • Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas
  • Strong communication/people skills required to interact with data analysts, business end-users and vendors to design and develop solutions
  • Good at working with details and is meticulous for operations

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