Data Engineer

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Purpose of Job You will be responsible and accountable for the development and maintenance of data pipelines. You will work with the business team in the US to gather requirements and provide efficient solutions to business requests by utilizing the in-house enterprise data platform. We'll trust you to: Design, build, and maintain efficient, reusable, and reliable code. Ensure the best performance and quality of applications. Identify the issues and provide solutions to mitigate and address these issues. Help maintain code quality, organisation, and automation to ensure optimal performance. Continuously expand the body of knowledge via research. Comply with corporate quality policies and procedures. Ensure all training requirements are completed promptly. You'll need to have: At least 3 years of Python programming experience, including data transformations using Pandas/PySpark libraries. CDW (Commercial Data Warehouse) experience in the US Pharmaceuticals market is strongly preferred. Experience implementing or supporting HCP and HCO data management, and MDM (Master Data Management) in US pharmaceuticals market is preferred. Having experience working on different Python libraries and willing to learn/work on new libraries. Having advanced analytical and problem-solving skills. Understands the business processes and business data used in data transformations. Knowing SQL queries, Snowflake, Databricks, Azure blob storage and AWS.