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Job Summary


Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
Docker
Strategy
Analytics
Git
kafka
Terraform

Job Description


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 To Expect

  • 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
How To Succeed

  • 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 essential to innovation. We do not discriminate on the basis of 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 crucial job functions, and to receive other benefits and privileges of employment.

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 meaningful 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

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