AVP, Data Engineer, Data Strategy Group

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

We build our data architecture in a robust operational environment with scale and efficiency. Data is meaningful in a functional, discoverable, and accessible format to power GIC’s innovative investment strategies.

Data Strategy Group 

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 results-driven approach with data products and strive to be a data-driven organization. 

Data Engineering

You will be part of the Research Data Engineering team, playing a key role in expanding and optimizing our data and data pipeline architecture, as well as looking after the operation and requests from multi-functional teams. In your new role, you will have the opportunity to engage in building GIC's data foundation and infrastructure with a team of forward-looking data professionals. Join us and make a difference in our data journey to shape our world of investments.

What will you do as an AVP/VP, Senior Data Engineer?

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Design and build robust and scalable data ingestion and data management solutions for batch-loading and streaming data sources.
• Enable ingestion checks and data quality checks for all data sets in the data platform and ensure the data issues are actively detected, tracked, and fixed without breaching SLA.
• Work with members in the team to establish best practice and internal processes to enhance the data pipeline operations.
• Coach junior team members through architecture design review and code review.

What qualifications or skills should you possess in this role?  

• Bachelor’s degree in Computer Science or equivalent.
• At least 5 years’ experience of working as a data engineer or backend developer in a big data field.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Familiar with application integration with RDBMS. Working knowledge of Oracle and MS-SQL will be a plus.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools.
• Exposure and knowledge in the following technologies is advantageous:
  • Java, Python, Informatica
  • Snowflake, Oracle, MS-SQL
  • IBM-MQ, Kafka
  • AWS (S3, SNS, CloudWatch)
  • Docker, Kubernetes
• Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
• Understand and apply the good industry practice of code versioning, testing, CICD workflow and code documentation.
• Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
• Good 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.

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer 
GIC is an equal opportunity employerGIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please email grphrodtaops@gic.com.sg at any point of the application or interview process if adjustments need to be made due to a disability.

Learn more about our Data Strategy Group Department here: https://gic.careers/group/data-strategy-group/