We are one of the largest investment management organizations in the world, with over 1000 people working together to create long-term value.
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.
