Data Engineer

Kaplan Higher Education Academy (Kaplan) is part of Kaplan Inc., one of the world's most diverse education providers and the largest subsidiary of Graham Holdings Company (NYSE:GHC).

Kaplan has welcomed students from over 55 countries and regions. As a Lifelong Integrated Learning Partner, we offer over 450 academic and professional certification programme options* for higher learning and skills development, providing opportunities for individuals to always stay relevant. To date, these opportunities have benefitted more than 100,000 graduates^.

We have a diverse team of individuals dedicated to our mission to help individuals achieve their educational and career goals, and build futures, one success story at a time. Our core values Opportunity, Knowledge, Support, Integrity and Results help guide the way we work.

At Kaplan, our employees are our most valuable assets, and everyone's contribution is integral to our success. We have been recognised by The Straits Times, for the second successive year, as being one of Singapore's Best Employers for 2023. This large-scale and comprehensive study assessed the attractiveness of organisations in Singapore based on an independent employee survey.

We strive to continue providing a professional, positive and stimulating work enviroment with plenty of room for initiatives, so that our employees can thrive with us. If you are seeking opportunities for growth, we welcome you to write to us!

• Based on full-time and part-time study modes across programmes offered at Kaplan.

^Total Diploma and Degree graduates from Kaplan from 2007 to 2023.

THE ROLE: Data Engineer

The Data Engineer will play a critical role in maintaining and evolving the institution's enterprise data infrastructure. This includes the Databricks-based data lakehouse, ETL processes via Fivetran, and ensuring the availability of clean, reliable, and well-structured data to support analytics, reporting, and predictive insights. The role will work closely with the Registrar Office's Data and Reporting team, while remaining under IT's purview for platform operations and data engineering.

Key Responsibilities:

• Design, build, and maintain bronze, silver, and gold layer data models in Databricks, following medallion architecture principles.
• Manage and optimize ETL pipelines using Fivetran, ensuring accurate and timely ingestion from diverse data sources.
• Develop scalable and reusable data models using star schema and other dimensional modeling techniques to support BI and analytics.
• Support data visualization and dashboarding efforts through integration with Power BI, Tableau, and other tools.
• Administer and optimize MySQL databases and structured queries for high performance.
• Apply data quality checks, ensure governance, and enforce policies for data security and privacy
• Leverage Databricks AutoML, and support machine learning or predictive analytics use cases in collaboration with the data science or analytics teams.
• Work with stakeholders to define data requirements and deliver robust data infrastructure to support enterprise reporting and operational intelligence.
• Maintain documentation for data flows, models, and platform architecture.

Essential:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum 3 years of experience in data engineering or related technical roles.
• Proven experience in:
• • Building data pipelines and models in Databricks, including bronze, silver, gold layers
  • Fivetran (or similar ETL tools)
  • Dimensional modeling, especially star schemas
  • MySQL, SQL scripting, and Python/PySpark
  • Power BI and/or Tableau
• Strong understanding of data lakehouse, data warehousing, and cloud-native architectures.
• Solid grasp of data governance, security, and compliance standards.

Desirable:

• Experience with Databricks AutoML or machine learning workflows for predictive analytics.
• Exposure to CI/CD for data pipelines and version control with Git.
• Familiarity with data integrations involving CRM/SIS or RESTful APIs.
• Experience working in education technology or public sector data environments.

• Working Hours: Monday to Friday, 9am to 6pm.
• Work Arrangements: Hybrid (Blend of in-office and remote work)
• Location: Wilkie Edge