As a Data Engineer, you will be responsible for designing, implementing, and maintaining robust data architecture solutions. The ideal candidate will have a strong background in data technologies with expertise in building and optimizing data infrastructure.

• Building data models and managing efficient data pipelines • Integrating diverse data sources to support DOS' data initiatives • Assisting with the adoption and implementation of ELT/ETL tools • Automating scripts for statistical processes

• Demonstrated experience with SQL and relational databases (e.g., PostgreSQL, MySQL), such as database design, query optimization, data modelling, and/or ingestion pipelines • Strong programming skills in Python • Knowledge of data warehousing concepts and ETL processes • Understanding of data modelling techniques and best practices • Excellent problem-solving, analytical, and communication skills • Ability to work independently and manage multiple projects simultaneously • Possess Knowledge/experience in Computer Science, Engineering, or a related field Advantageous: • Experience with other programming languages like R, Java, Scala, etc. • Certifications in relevant data technologies (e.g., AWS Certified Data Analytics) • Familiarity with cloud platforms (AWS, Azure, or GCP) and their data services • Experience with big data technologies such as Hadoop, Spark, and Hive

The Singapore Department of Statistics is the National Statistical Authority responsible for statistics on the Singapore economy and population. We collect, compile, analyse and disseminate a wide range of economic, business, household and population data, as well as analyse and monitor trends in the economy and population. With these vital inputs, policymakers, business decision makers and our data users gain valuable insights into current and emerging economic and social trends, enabling them to make calculated and informed decisions in the formulation of policies and strategies for the future. Apart from public agencies and businesses, our users also include researchers, analysts, educators, students, the media and the general public. Join our team and make a difference by contributing important statistical input to facilitate policy planning and decision-making and support Singapore's present and future economic and social development.