The role involves maintaining and enhancing existing SAS-based Data Warehouse components while contributing to the modernization of the platform in Azure Databricks
Job Summary
The role involves maintaining and enhancing existing SAS-based Data Warehouse components while contributing to the modernization of the platform in Azure Databricks.
Candidates will migrate and refactor legacy SAS ETL logic into PySpark and SQL on Databricks following best practices.
This position offers a unique opportunity to shape the next-generation data platform for one of Europe's leading Asset Managers.
Matching Summary
The role involves maintaining and enhancing existing SAS-based Data Warehouse components while contributing to the modernization of the platform in Azure Databricks.
Skills & Requirements
Must-have
5+ years Data Warehouse experience
SAS Data Integration Studio expertise
Strong SQL and relational data modeling
Asset Management domain knowledge
ETL framework proficiency
Nice-to-have
Dutch language skills
Azure Databricks experience
PySpark and Delta Lake knowledge
CI/CD pipeline implementation
Agile/Scrum collaboration
Key Requirements
Minimum 5 years of relevant experience
15 years full-time education
Experience in financial services or asset management