Tech – Data Engineer: SSOE - Data-as-a-Service

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Role

Data Engineer

Division

Central Administration & Social

Level

Undergraduate

Internship Duration

6 months

Project Description

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SSOE enables Singapore MOE Schools to operate consistently by providing reliable network connectivity, computing devices for teachers and students to enhance their teaching and learning journey supported by best-in-class Google & Microsoft education workspaces to improve communications and collaboration. SSOE Data-as-a-service is spearheading data insights generation from a whole-of-school perspective to enable quicker decision making for HQ & School leaders as we develop the Digital Schools of tomorrow.

Learning Outcomes

- Architect Complex Integrations: Design and build robust data pipelines that interface with proprietary legacy systems, internal APIs, and third-party platforms. - Data Modeling for Speed: Develop high-performance data models (Star Schema, Data Vault, etc.) specifically optimized for rapid querying and end-user insight generation. - Pipeline Automation: Build, monitor, and maintain automated ETL/ELT workflows that ensure data freshness—moving from batch processing to real-time or near-real-time where critical. - Security & Governance: Handle proprietary data with the highest level of integrity, implementing strict encryption, access controls, and obfuscation where necessary. - Insight Enablement: Collaborate directly with stakeholders to understand their decision-making process, ensuring the data delivered is "decision-ready" rather than just "available."

Prerequisites

- Programming: Proficient with Python or SQL. - Cloud Infrastructure: Hands-on experience with cloud data warehouses (e.g. BigQuery or Dynatrace). - Data Integration: Experience building custom connectors for proprietary systems or using tools like Airflow, Fivetran, or dbt. - Ability to undertake ambiguous tasks, prioritize effectively and own the outcomes