Engineer

• Develop, maintain and optimize data pipelines (ETL) using SAS Guide and SASQL;
• Create and automate transformation and processing routines in Python, with a focus on PySpark;
• Work in cloud environments using Databricks and relational databases;
• Ensure the quality of processed data and perform unit testing on critical pipelines;
• Collaborate with multidisciplinary engineering and analytics teams to integrate data from various sources;
• Use code versioning (GitHub) and follow best practices for documentation and delivery.

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Data Engineer, English