Government Technology Agency Hiring For Data Engineer, Capability Development at Singapore Full Time

The Government Technology Agency (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. We also develop the Smart Nation infrastructure and applications, and facilitate collaboration with citizens and businesses to co-develop technologies. 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 GovTech’s Data Science & Artificial Intelligence Division, you will be involved in architecting, managing and running advanced analytics and data platforms. For this role, you will be part of the Data Analytics Readiness Team within GovTech, where you will help drive GovTech’s Data Transformation efforts. You will assist to establish and implement effective operational workflows, data pipelines, procedures and best practices in accordance with government infrastructure and security policies to ensure that the platforms are monitored, secure, available and reliable.

We are looking for an independent and motivated engineer who has experience in both small and large-scale analytics platform projects, and in building and maintaining the infrastructure.

What you will be working on

• Design, Architect, Deploy, and maintain solutions on Microsoft Azure or AWS using different Cloud & Big Data Technologies to provide secure and governed access to data for business users.
• Manage the full life-cycle of a data warehouse/lakehouse solutions from requirement gathering and analysis to platform selection, design of the architecture, and deployment.
• Collaborate with data stewards, data analysts and data scientists to build data pipelines from enterprise systems such as Workday to collect, clean, harmonise, merge and consolidate data sources for data warehouse/lakehouse.

Where we are looking for:

• Diploma/Degree in Computer Science or Information Technology or related disciplines
• Experience with the cloud (e.g. AWS, GCP, Azure)
• Hands-on experience in implementing Data Lake/Data Warehouse with technologies like – Databricks, Azure Synapse Analytics, SQL Database, AWS Lake formation.
• Programming & debugging skills in Python, Scala or R.
• Proficient in SQL.
• Knowledge of both SQL and NoSQL databases.
• Comfortable with DevOps tools like AWS Cloud Formation/Terraform, Docker and Git for CI/CD development.
• Prior experience with data engineering tools and frameworks like Airflow, Kafka, Hadoop, Spark, Kubernetes.
• Familiar in building REST services is good to have.

• Subject to the nature of your job role that might require you to be onsite during fixed hours