Assignment Overview For our customer we are looking for a Data Engineer 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
Additional Information Language requirements:h Finnish mandotary English Start date: As soon as possible after candidate is choosen
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We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives. Source Group International Ltd is acting as an Employment Business in relation to this vacancy
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