Overview
On Site
Accepts corp to corp applications
Skills
Azure
Python
Tableau
data engineer
Azure Data Lake
Azure SQL
Azure Databricks
Azure Synapse). Expertise in SQL
or other relevant data engineering languages for building data models
pipelines
and reports. Strong understanding of data warehousing
ETL processes
and data lake architectures. Familiarity with business intelligence tools such as Power BI
Job Details
Required Skills & Qualifications:
- Experience:
- 8+ years of experience in commercial operations within the Life Sciences industry, with expertise in areas like Sales, Marketing, Incentive Compensation (IC), Patient Data, LAAD, and Claims.
- 5+ years of experience in Data Engineering, including hands-on experience with cloud platforms (preferably Azure), and a strong background in managing and analyzing large datasets.
- Proven track record of developing and deploying data solutions that support commercial business functions in Life Sciences.
- Technical Expertise:
- Proficiency in Azure Data Services (e.g., Azure Data Lake, Azure SQL, Azure Databricks, Azure Synapse).
- Expertise in SQL, Python, or other relevant data engineering languages for building data models, pipelines, and reports.
- Strong understanding of data warehousing, ETL processes, and data lake architectures.
- Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms for visualization and reporting.
- Domain Knowledge:
- Extensive understanding of Life Sciences commercial functions, including Sales, Marketing, Incentive Compensation (IC), Claims, Patient Data Management, and Longitudinal Access and Adjudication Data (LAAD).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.