Data Engineer, ITD

4 days ago

EDB SG SINGAPORE Public Service Division Full time $80,000 - $120,000 per year

[What the role is]

About EDB
The Singapore Economic Development Board (EDB), a government agency under the Ministry of Trade and Industry, is responsible for strategies that enhance Singapore's position as a global centre for business, innovation, and talent. We undertake investment promotion and industry development, and work with international businesses, both foreign and local, by providing information, connection to partners and access to government incentives for their investments. Our mission is to create sustainable economic growth, with vibrant business and good job opportunities for Singapore.

For more information on EDB, please visit

Why join EDB?
As a Data Engineer, you will be assisting in the maintenance and support of EDB's data products. You will be working closely with our divisions on their needs to leverage data for strategy formulation, policy implementation and decision making.

The work streams that you could be involved include:

• Data Science: You will work closely with our Data Scientist(s) to procure and prepare the data, and to convert them into operating models for businesses' day-to-day use

• Business Intelligence: You will assist in the integration and structuring of data from various sources to create interactive, real-time dashboards for decision making.

• Data Architecture and Governance: You will assist in defining scalable data architecture for EDB's analytics and reporting needs, building data pipelines and related elements of the architecture, and developing the governance to ensure data quality.

[What you will be working on]

Your roles and responsibilities would include the following:

  • Support the daily operations of the data platform (e.g. handling error notifications, job monitoring & recovery, testing data pipelines);

  • Investigate and troubleshoot reported incidents related to technical setup (e.g. connectivity failure, API timeout, service failure);

  • Document changes to existing setup (e.g. data sources, pipelines, accounts);

  • Research, propose and document technical requirements;

  • Review and implement fixes for reported security vulnerabilities;

  • Collaborate with the infrastructure team on the data team requests;

  • Support product managers in cloud transformation journey for data products;

  • Provide technical support and consultancy to business users;

  • Develop reports to monitor usage, performance and security events;

  • Generate mockup data and create unit tests;

  • Set up DevOps pipelines;

  • Optimise performance of data pipelines;

  • Review data pipelines to ensure adherence to data management standards, policies and procedures.

[What we are looking for]

To meet the challenges of this role, you must have/ be:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related discipline

  • Minimum 3 years of experience in Data Engineering or a closely related field

  • Hands-on experience with AWS in implementing or operating data management solutions for analytics

  • Strong SQL scripting skills for data analysis, transformation, and integration

  • Proficiency in building and maintaining data pipelines using Python and PySpark

  • Strong attention to detail, with the ability to deliver quality work under time constraints and shifting priorities

  • Able to work both independently and collaboratively in a team environment

  • Singaporean citizen

Good to have:

  • Experience in developing dashboards;

  • Experience IT infrastructure (server, database, network administration experience is an advantage);

  • Experience or certification in Tableau Server administration;

  • Experience or certification in Talend administration;

  • Experience or certification in MS SQL Server administration;

  • Proficient in PowerShell;

  • Experience in SHIP-HATS or DevOps tools;

  • Proficient in Terraform or IaC;

  • Experience in dashboard UX design;

  • Experience with agile or other rapid application development methodologies;

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