Career Center

In order to search for jobs specifically for CAIA Charterholders or those pursuing the CAIA Charter please enter “CAIA” in the search panel. This will enable you to search for CAIA specific roles globally.
Associate/AVP, Data Engineer, Data Platform Engineering (Contract)
GIC Private Limited
SAVE savedJobs
SAVE savedJobs

Associate/AVP, Data Engineer, Data Platform Engineering (Contract)

GIC Private Limited

Gmail Email Print
Application
The application opened in a new tab.
By using this feature you agree to our Terms and Conditions and Privacy Policy.
Details
Posted:
February 19, 2021
Location:
Singapore, Singapore
Salary:
Open
Type:
Full Time

The Technology Group manages and exploits information technologies to enhance GIC's ability to be the leading global long-term investment firm. It aims to provide users with empowering and transformational capabilities, and to create an inclusive, innovative and integrated work environment.

We are looking for a dynamic, self-motivated and technically competent individual to join us as Associate/AVP, Data Engineer. You'll be specialising in the data domain, involve in a high-pace data engineering team that is delivering and supporting GIC data needs.

Responsibilities

  • Work closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
  • Conduct requirement workshop with stakeholders and analyse requirements holistically.
  • Design robust and scalable solutions to meet business needs and takes operational considerations into account. Demonstrate technical expertise in the assigned area.
  • Analyse, tackle and resolve day-to-day operational incidents and advisory to business users
  • Analyse systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency 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.

    Requirements

    • Bachelor's degree in Computer Science, Computer Engineering or equivalent
    • Minimum 2 years of relevant working experience in data modelling and data integration, preferably in an investment and banking environment.
    • Familiar with enterprise databases using database technologies (PL/SQL, SQL)
    • Good knowledge of Linux family of operating systems.
    • Exposure and knowledge in any of the following technologies is advantageous:
    - AWS
    - Data Visualisation - Tableau
    - Data Storage & Processing - SnowFlake
    - Data Virtualisation - Denodo
    - Programming and Scripting Language
    - Python
    - Java/Scala
    - Shell Script
    - RESTful Data API

    • Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
    • A pro-active team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
    • Ability to work closely with data analysts, business end-users and vendors to design and develop solutions.
    • Understand the importance of data integrity and accuracy, which are key essentials for our business operations.

    • Internal Number: 10298260
    More Jobs from This Employer
    More Jobs Like This
    T24 Data Engineer- Data Lake - contract   London, United Kingdom
    Skillfinder International Yesterday
    Product Developer 12 month Fixed Term Contract  
    Credit Suisse Yesterday
    Senior Fullstack Developer/Engineer/Programmer - JavaScript, Python, React, AWS, Finance   London, United Kingdom
    Cornwallis Elt Yesterday
    BACK TO TOP
    CAIA Career Center is Just One of the Benefits.
    Discover what else CAIA has to offer!
    Networking
    Certifications
    Training
    The job you are trying to reach from was originally posted at CAIA Career Center.
    Help is on the way!
    We're sorry you are having trouble applying for this job.

    Please try loading this job using the following link before submitting your help request:
    Powered By Naylor Association Solutions