Job Role: Techno-Functional Data Engineer (Commercial SME) Location: Carlsbad, CA (Onsite) Experience: 8+ years Duration: Long term Visa: Except OPT, CPT Job Description • 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).