Key Responsibilities:

• Clean, transform, and maintain structured and unstructured datasets

• Develop efficient data pipelines and workflows to support analytics and reporting

• Build, test, and deploy dashboards for operational and management insights

• Collaborate with analysts, engineers, and business users to understand data requirements

• Ensure data accuracy, integrity, and consistency across systems

• Implement best practices for data governance, quality, and documentation

• Troubleshoot data issues and optimize data processes for performance and reliability

Requirements:

• Must be a Singapore Citizen

• Must be able to obtain Singapore MSD security clearance CAT1

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field

• Shall have at least two (2) years’ experience in building and optimising data pipelines, architecture and datasets using DI/ETL technology (e.g., Informatica, Talend).

• Strong experience in data cleaning, transformation, and pipeline development

• Proficiency with SQL and at least one programming language such as Python

• Experience with dashboarding tools such as Power BI, Tableau, or similar

• Familiarity with data warehousing concepts and ETL/ELT frameworks

• Strong problem solving skills and attention to detail

• Ability to work independently and collaboratively in a fast paced environment

Preferred Qualifications:

• Experience with cloud platform such as AWS

• Knowledge of data modeling and workflow orchestration tools

• Experience in multiple data source support (e.g., flat files, SQL database, SAP database, PostgreSQL database, unstructured data not limited to text, documents, images, digitalised video, digitalised audio, sensor data) would be advantageous.