Data Engineer, Quantitative Strategy

**Job Summary**: **Salary** S$10,000 - S$18,000 / Monthly **Job Type** **Seniority** Senior **Years of Experience** At least 8 years **Tech Stacks** Strategy ETL AWS Terraform Docker Factory play Google Cloud CI Databricks Git Azure Java MSSQL Airflow Spark SQL Scala PostgreSQL Hadoop Python 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 Learn more about GovTech at tech.gov.sg. We are seeking a Data Engineer to join our Quantitative Strategy team, to be sited with one of our Agency Data Science/Engineering Teams. As a Data Engineer, you will be part of a data team deployed at a government agency identified as a strategic partner for DSAID, with the mandate to drive the growth of agency’s data capabilities while operating in close alignment to DSAID's approach and philosophy. Your main role is to build Whole-of-Government data infrastructure at the partner agency, to power insights needed for evidence-based decision-making and enhancing the agency’s service delivery. This role requires an individual with experience in both on-prem and cloud-based data engineering work, as well as good communication skills, as you will be expected to interact frequently with the partner agency's users to elicit useful business information that enables you to perform your job. **What you will be working on**: Translate data requirements from business users and data scientists into technical specifications. Collaborate with partner agency’s IT teams on the following tasks: - Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems. - Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime; - Construct, test, and update useful and reusable data models based on data needs of end users. - Design and build secure mechanisms for end users and systems to access data in data warehouse. - Research, propose and develop new technologies and processes to improve agency data infrastructure. - Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures. - Maintain data catalogue to document data assets, metadata and lineage. - Implement data quality checks and validation processes to ensure data accuracy and consistency. - Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data. **What we are looking for**: - A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines. - Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage. - Proficiency in writing SQL for databases such as Postgres, MSSQL. - Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud. - Experience with orchestration frameworks such as Airflow, Azure Data Factory. - Experience with distributed data technologies such as Spark, Hadoop. - Proficiency in programming languages such as Python, Java, or Scala. - Familiarity with building and using CI/CD pipelines. - Familiarity with DevOps tools such as Docker, Git, Terraform. **Preferred requirements**: - Experience in architecting data and IT systems. - Experience in designing, building, and maintaining batch and real-time data pipelines. - Experience with Databricks. - Experience with implementing technical processes to enforce data security, data quality, and data governance. - Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is