Job DescriptionKey Responsibilities:Deploy and monitor Azure Data Factory (ADF) pipelines to transfer datasets from private and public locations to Azure-based data lakes.Support Real-World Data (RWD) statisticians by creating data cuts/patient cohorts using SQL, Python, and R, and developing visualizations with Power BI, Python Dash, and R Shiny.Assist in implementing data platform integration with third-party systems.Collaborate with RWD experts to define and implement incoming data quality checks.Standardize datasets using Common Data Models (e.g., OMOP) and/or tokenize upon request.Collaborate to define user guides and best practices for data engineering processes.RequirementsA Master's degree in biochemistry, bioengineering, pharmacy, statistics, data sciences, or a related field (preferred).At least 8 years of relevant work experience.Strong knowledge of Python, R, and SQL.A good understanding of data architecture concepts (e.g., Data Warehouse, lakehouse).A good understanding of infrastructure-related requirements (Firewall, access control, system integration, pipelines).Prior experience with Microsoft Azure is required, with a plus for Microsoft Fabric and Onelake.Experience with patient-level/real-world data analysis and related analytics platforms (e.g., SAS, Aetion).Excellent communication and presentation skills in English.