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Assoc/AVP, Data Engineer, Enterprise Data Engineering

Location: 

Singapore, SG

Job Function:  Data & Technology
Job Type:  Permanent
Req ID:  14286

Data Strategy Group 

The Data Strategy Group (DSG) harnesses and leverages on GIC’s most valuable asset – Data – to drive insights, results and solve real business challenges. We ingest, analyse, and combine data with context across all industries and asset classes to enable investment decisions and enhance investment process. Together, we strive to build a high-performance enterprise data infrastructure, create a results-driven approach with data products, and become a data-driven organisation. 

We are hiring a Data Service Engineer (Associate/AVP) to be part of an agile team that is responsible for building out a data services product for the organisation, and implementing a modern paradigm of data discovery and delivery. 

 

In your new role, you will be engineering innovative solutions to strengthen our data virtualisation capabilities, including security/access integration and end-to-end automation. You will play a key role in implementing data discovery, services monitoring, and data governance features into the data services product, and make sure the product capabilities evolve optimally over time to serve cross-functional users. 

 

Responsibilities 

  • Develop and support enterprise data services, and ensure operational stability and performance through continuous optimisation
  • Work hand-in-glove the product owners and various stakeholders to deliver features, using best-of-breed technologies and robust engineering methodologies
  • Coordinate closely with platform engineers to ensure the data services remain performant and scalable amid seasonal demand patterns
  • Demonstrate technical and product expertise, and be able to advise business users and solution new features

 

Requirements 

  • Bachelor’s degree in Computer Science, Computer Engineering or equivalent
  • At least 4 years’ experience of working as a data engineer or backend developer in a big data field
  • Good working knowledge of Linux (or Unix-like) OS
  • Solid working knowledge of enterprise-grade database technologies and languages (Oracle PL/SQL, SQL)
  • Exposure and knowledge in the following technologies is advantageous: 
    • Data Virtualisation – Denodo 
    • Database & Big Data Platforms – Oracle, MS SQL, Snowflake, JDBC/ODBC 
    • Programming and Scripting – Java, Python, Shell Script, REST API 
    • AWS services (S3, RDS, Athena, CloudWatch) 
  • Experienced with Software Development Life Cycle (SDLC) processes, and Agile methodologies like Scrum and Kanban
  • Understands the best-practices of code versioning, testing, CICD, and documentation
  • Good team player, with strong analytical skills and enjoys 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

Our PRIME Values

Our PRIME Values

GIC is a values driven organization. GIC’s PRIME Values act as our compass, enabling us to fulfil our fundamental purpose and objectives. It is the foundational bedrock which governs our behaviors, our decision making, and our focus. It informs both our long-term strategy as a firm, and the way we relate to our Client, business partners and employees. PRIME stands for Prudence, Respect, Integrity, Merit and Excellence.