Data Engineers (Databricks / SAS)

For our client we are looking for 4 Data Engineers to migrate SAS workloads to the Databricks Lakehouse Platform. You will translate legacy SAS data processing into PySpark and SparkR, design scalable pipelines, and optimize Delta Lake tables for performance and reliability. Collaborate with analysts and data scientists to ensure functional equivalence between SAS and Databricks implementations, implement CI/CD with Git and Azure DevOps, and validate data through automated testing and data quality checks. Key Responsibilities - Migrate SAS workloads to the Databricks Lakehouse Platform. - Translate legacy SAS data processing into PySpark and SparkR - Design scalable pipelines - Optimize Delta Lake tables for performance and reliability - Collaborate with analysts and data scientists to ensure functional equivalence between SAS and Databricks implementations - Implement CI/CD with Git and Azure DevOps, and validate data through automated testing and data quality checks. Required Experience Mandatory: - Databricks Good experience to have: - PySpark - SAS, Basics - ETL - SQL Language requirements: - Finnish mandatory - English Start date: As soon as possible after candidate is chosen End date: 31.12.2029 strong possibility for extension Scope/hours per week : 38.5 Location: Remote Please apply with an updated CV in English that clearly demonstrates how you meet the required skills and experience for this role. We offer continuously, and may remove the assignments before deadline. If you are interested we recommend that you apply immediately. The payment terms for this client is 120 days. With PayExpress, you get paid in advance 3 days after approved time sheet. Read more here: https://www.eworkgroup.com/find-work/payexpress Please note, should your candidate be selected for the assignment, Ework will request documentation in accordance with the Act on the Contractor’s Obligations and Liability (Tilaajavastuulaki), as well as proof of valid liability insurance.