Data Warehouse Engineer

A company is looking for a Data Warehouse Engineer to transform complex data into machine-readable formats and support analytics. Key Responsibilities Design, develop, and maintain scalable data pipelines ensuring high data quality Integrate data from multiple sources to support analytics and reporting initiatives Build and test ETL architectures to streamline data extraction, transformation, and loading processes Qualifications and Requirements Proficiency in Python and SQL for data manipulation and automation Hands-on experience with ETL tools and data warehousing platforms, particularly Microsoft SQL Server and Azure Certification in Epic Clarity data model and Caboodle Development required Minimum of 5 years of advanced data engineering experience Experience with healthcare industry data and standards is highly desirable