Intern, Geospatial Data Engineering & Platform team

SLA-REVENUE HOUSE LEVEL 11, Singapore

The Singapore Public Service

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[What the role is]

The interns will be supporting the Geospatial Data Engineering & Platform team in the data operations revolving around the SLA Enterprise Data Platform. The operations involve: (1) onboarding of SLA data sets onto EDP Data Warehouse for publishing of data sets on EDP Data Portal (2) development of data engineering workload (data transformation pipelines) and dashboards/reports for monitoring of system operating performance, auditorial insights, data quality and performance metrics.

[What you will be working on]

  • Assist in the development of building robust data ingestion pipelines to collect, clean, and merge data from diverse source systems

  • Develop, test, and maintain efficient, scalable, and reusable code for data pipelines

  • Develop, test, and maintain dashboards/reports to serve the daily data operational needs.

  • Implement comprehensive validation processes and data quality checks to ensure data accuracy, consistency, and reliability.

  • Contribute to the documentation of data processes

[What we are looking for]

  • Pursuing tertiary qualifications in Data Science, Computer Science, or a related technical field

  • Strong analytical skills with demonstrable experience in data analysis tools, preferably Python and SQL

  • Ability to write efficient, well-documented code and think critically about edge cases and error handling

  • Familiarity with data management concepts, data engineering techniques, and ETL processes

  • Strong communication skills and ability to work effectively in a team environment

  • Able to commit between July 2025 to December 2025

  • Please include your availability in your CV.

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Category: Engineering Jobs

Tags: Computer Science Data analysis Data management DataOps Data pipelines Data quality Data warehouse Engineering ETL Pipelines Python SQL

Region: Asia/Pacific
Country: Singapore

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