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About the role
Lead the development of high-quality, scalable, and robust Python applications Collaborate with cross-functional teams to define, design, and ship new features Ensure the performance, quality, and responsiveness of applications Develop RESTful applications using frameworks like Flask , Django , or FastAPI Utilize Databricks , PySpark SQL , and strong data analysis skills to drive data solutions Implement and manage modern data solutions using: Azure Data Factory Azure Data Lake Azure Databricks Mandatory Skills Proven experience with cloud platforms (e.g., AWS ) Strong proficiency in: Python PySpark R Familiarity with C++ , Rust , or Java Expertise in: Designing ETL architectures for batch and streaming processes Database technologies (OLTP/OLAP) Writing complex SQL queries Experience with: Apache Spark Multi-cloud environments (AWS, GCP, Azure) Knowledge of: Data governance and GxP data contexts Pharma value chain (preferred but not mandatory) Good to Have Skills Experience with modern data solutions using Azure Understanding of the Microsoft Cloud Adoption Framework Additional expertise in: Advanced SQL Data analysis Educational Qualifications Bachelor's or Master's degree (or equivalent) with a focus on Software Engineering
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