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Associate Data Engineer/Data Engineer, Quantitative Strategy

GovTech

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Job Summary


Salary
$6,000 - $9,900 SGD / Monthly EST

Job Type
Permanent

Seniority
Mid
Junior

Years of Experience
Information not provided

Tech Stacks
Docker
Strategy
Shell Script
Kubeflow
Kedro
R
Luigi
Shell
Bamboo
Git
Azure
Spark
Airflow
Kubernetes
kafka
Ansible
Terraform
SQL
Jenkins
Python
AWS

Job Description


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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 building Whole-of-Government data infrastructure to power the insights needed for evidence-based decision-making and enhancing agencies’ service-delivery.

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:

  • Design and build resilient and efficient data pipelines for both batch and real-time streaming data
  • Architect and design data infrastructure on cloud using industry standard Infrastructure-as-Code tools
  • Execute projects with an Agile mindset
  • Build software frameworks to solve data problems at scale
  • Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools

What we are looking for:

  • Bachelor’s Degree in Computer Science, Data Science, Statistics, Economics, Quantitative Social Science, or related discipline, or have equivalent professional experience. Relevant training and certifications (e.g. Coursera) may also be considered.
  • Experience with writing effective and performant code in Python or R.
  • Experience with SQL and writing complex queries to extract insights.
  • Some knowledge of cloud infrastructure and deployments (e.g. AWS, GCP, Azure).
  • Some knowledge of key machine learning concepts, especially relating to the optimisation and deployment of machine learning models.
  • Experience in the public sector is a bonus.

Preferred Skills:

  • Working knowledge of Git and essential shell scripting commands.
  • Experience with implementing batch and streaming data pipelines, and with tools such as Spark, Beam, and Kafka.
  • Experience with using data engineering tools like Airflow, Kedro, Luigi, or Kubeflow.
  • Experience with implementing and using DevOps tools such as Docker, Kubernetes, Terraform, Azure DevOps, Ansible, Jenkins, or Bamboo.

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

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