Job Summary
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
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