Data Engineer,Data and Artificial Intelligence Platforms (DAIP)#GovTechForPublic

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Government Technology Agency of Singapore (GovTech)
Singapore
SGD 60,000 - 80,000
Be among the first applicants.
5 days ago
Job description

Data Engineer, Data and Artificial Intelligence Platforms (DAIP) #GovTechForPublicGood

Description and Requirements

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.
At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Who we are
The mission of GovTech's Data and Artificial Intelligence Platforms team is to deliver high-quality reusable Data and AI assets and services for policy making, service delivery and operations across WOG.

What the products are
We are seeking a Data Engineer to join our Data and Artificial Intelligence Platforms (DAIP) team. The existing Government Data Architecture (GDA), launched in 2019, laid the groundwork for WOG data sharing via TCs, SSOTs and central platforms. As the data technology landscape is rapidly evolving and data/system requirements are becoming increasingly complex and interconnected, to better support agencies, the next phase of GDA (i.e. GDA 2.0) aims to consolidate, streamline, and elevate the products and initiatives within the WOG data landscape.

  • DataHive as the next-gen WOG Data Discovery & Request Platform.
  • Data products that compute and serve derived data for ops and service delivery for multiple agencies.
  • Fraud Detection Platform (FDP) for Grant Fraud Insights.

What you will be working on

As a data engineer, you will:

  • Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
  • Monitor databases and ETL systems; ensure maximum database uptime.
  • Construct, test, and update useful and reusable data models.
  • Design and build secure mechanisms for data access.
  • Research, propose and develop new technologies and processes.
  • Collaborate with data stewards to establish and enforce data governance policies.
  • Maintain data catalogue to document data assets.
  • Implement data quality checks and validation processes.
  • Implement and enforce data security best practices.
  • Learn and share knowledge in a multi-disciplinary team.

More senior engineers will be expected to:

  • Establish best practices
  • Share your expertise and mentor other engineers
  • Help with recruiting.

What it is like working here
We build products that serve a variety of agency users, who use them to solve meaningful problems. The public sector is full of opportunities where even the simplest software can have a big impact on people’s lives.

  • Rapid Prototyping
  • Reliable Productization
  • Ownership
  • Continuous Learning

What we are looking for
We work mostly in Python, JavaScript, and Scala. We are looking for proficiency in at least one language and the ability to learn. Strong passion in software engineering is what matters to us.

  • Demonstrated ability to build software
  • Can write code to solve abstract problems
  • Can think critically on how to get the code correct
  • Can talk and reason about code with other engineers
  • Demonstrated ability in writing efficient code
  • Adequate exposure to cloud or on-prem production environment
  • Understanding of devops, CI/CD would be an advantage
  • Interest in data science and machine learning
  • Take the initiative to make things happen
  • Want to work for the public good

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks, including leave benefits and employee wellness programmes. We champion flexible work arrangements and trust that you will manage your own time to deliver your best.

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