Engenheiro de Dados Sênior SAS

📋 Description

• Design, develop, and optimize scalable ETL/ELT data pipelines in Azure using Databricks for
• Define strategies to migrate SAS code and processes to Python/PySpark.
• Support migration and modernization of SAS routines and analytical processes into Databricks.
• Read, assess, and migrate SAS workloads while ensuring functional and data consistency.
• Design data models/architectures for scalability, performance, maintainability, and governance.
• Work with Medallion architecture across Data Lake and Data Warehouse environments.

🎯 Requirements

• Solid experience in data engineering with strong expertise in Azure Data Services and Databricks.
• Hands-on SAS experience, including reading, understanding, and migrating SAS code.
• Proven experience converting SAS workloads to Python/PySpark.
• Strong experience supporting migration of SAS analytics to Databricks.
• Hands-on Databricks and PySpark expertise.
• Strong Python and SQL skills for data manipulation and analysis.

🎁 Benefits

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Wellhub (Gympass) and TotalPass partnerships.
• Profit-sharing program (PLR).