Join us as we support Singapore’s vision of building a Smart Nation - a nation of possibilities empowered through info-communications technology and related engineering.
As a Data Engineer in the Quantitative Strategy team of GovTech’s Data Science and Artificial Intelligence Division, you will be architecting, designing and building next-generation data infrastructure to galvanise digitalisation in the public sector.
We are looking for enthusiastic and passionate engineers to join us in this journey to make a difference.
What you will be working on:
- Architecting and scaling data analytics infrastructure on cloud environment; finding opportunities to improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products
- Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools
- Manage and run production services that provide analytics capabilities to our various data users across the ministry and ministry family
- Development of systems, architectures, and platforms that can scale large volume and variety
- Experience implementing batch processing on a data lake
What we are looking for:
- Architecting and scaling data analytics infrastructure on cloud environment; finding opportunities to improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products
- Collaborate with product managers, data analysts and data scientists to support scalable OLAP analytics
- Manage and run production services that provide analytics capabilities to our various data users across the ministry and ministry family
- Development of systems, architectures, and platforms that can scale large volume and variety
- Experience implementing batch processing on a data lake
- Familiarity with DevOps CICD tools such as Git, Docker, Terraform is a plus
- Understanding of streaming development and frameworks such as Kafka is a plus
We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*. We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.
*Subject to the nature of your job role that might require you to be onsite during fixed hours