ResponsibilitiesDeploy and monitor Azure Data Factory (ADF) pipelines to transfer datasets to Azure-based data lakes from private and/or public locationsSupport Real-World Data (RWD) statisticians by creating data cuts/patient cohorts (using SQL, Python, R) and developing visualizations (Power BI, Python Dash, R Shiny)Assist with the implementation of data platform integration with third-party systemsCollaborate with RWD experts to define incoming data quality checks and implement themStandardize datasets using Common Data Models (e.G., OMOP) and/or tokenize datasets upon requestCollaborate with colleagues to define user guides and best practices for data engineering processes RequirementsMaster's degree (preferred) in biochemistry, bioengineering, pharmacy, statistics, data sciences, or related fieldsAt least 8 years of relevant work experienceStrong knowledge of Python, R, and SQLGood understanding of data architecture concepts (e.G., Data Warehouse, lakehouse)Good understanding of infrastructure-related requirements (Firewall, access control, system integration, pipelines)Prior experience with Microsoft Azure (required), Microsoft Fabric, and Microsoft Onelake (a plus)Experience with patient-level/real-world data analysis (e.G., claims, eHR, patient-reported outcomes) and related analytics platforms (e.G., SAS, Aetion)Excellent communication and presentation skills in English