Manager/ Senior Manager (Data Engineering) at Public Service Division

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

0.0

Posted On

17 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Science, Artificial Intelligence, Cloud Services, DevOps, MLOps, CI/CD, Docker, Kubernetes, SQL, Spark, Python, Frontend Development, Backend Development, Infrastructure as Code, Terraform, Networking

Industry

IT Services and IT Consulting

Description

[What the role is] At IRAS, we partner you to deliver quality tax services and foster a competitive tax environment for our nation's social and economic growth. By leveraging digital capabilities as part of a future-ready team, your opportunities keep expanding. This role supports the cultivation of an insights-driven mindset amongst staff, work with partners to engineer data to transform and enhance business processes, and to deliver impactful data science/ artificial intelligence and data analytics solutions across the organisation. [What you will be working on] An officer in this role would be expected to handle one or more of the following areas of work as part of day-to-day responsibilities or as assignments: Setup/manage/troubleshoot small-scale cloud environments containing data processing, web applications, data science/AI components and services; manage day-to-day operations Setup/manage Continuous Integration and Continuous Deployment (CI/CD) pipelines, and manage container technologies i.e. Docker & Kubernetes Work with data scientists and data engineers to migrate/deploy and maintain data pipelines/analytics/artificial intelligence solutions (e.g. applications, models). This includes reviewing/updating/improving the codes that was initially developed by data scientists/engineers. Provide technical guidance to others on cloud infrastructure/services (including. networking/connectivity, security, performance), DevOps/MLOps Conduct research on emerging system/cloud architecture, technologies and systems. [What we are looking for] Background in Computer Engineering, Computer Science, Mathematics, Software Engineering or equivalent fields Experience in managing/provisioning infra services, preferably Azure-based services within the context of Government Commercial Cloud. Familiarity in Terraform tool and Infrastructure as Code concept is a plus. Familiarity/experience in data engineering, data science/AI and web application-related cloud services/products. Familiarity/experience in frontend and backend, data engineering and data science/AI development process. Familiarity in data query/science languages such as SQL, Spark and/or Python, or frontend framework (e.g. node.js). Meticulous and analytical Good interpersonal, verbal and written communication skills Resourceful and able to work independently in a team environment We regret to inform that only short-listed candidates will be notified. All successful candidates will be offered a 2 year contract in the first instance. http://jobs.careers.gov.sg The Singapore Public Service plays a key role in the economic growth, progress and stability of Singapore by formulating and implementing government policies, as well as providing key public services. Whether you are a fresh graduate joining the workforce or an experienced professional, the Singapore Public Service offers a great variety of job opportunities for you. The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development. Be part of the team that shapes the future of Singapore. Log on and take your first step towards a career that matters! Need help? Please click here for assistance. Our team will contact you shortly!

Responsibilities

The role involves managing cloud environments, setting up CI/CD pipelines, and collaborating with data scientists and engineers to maintain data solutions. Additionally, it includes providing technical guidance on cloud infrastructure and conducting research on emerging technologies.