Data Engineer
Join Charles River Labs' Enterprise Data Analytics team as a Data Engineer and help drive business decisions with data science and advanced analytics. The role involves integrating, mastering, and ensuring the quality of data across all business functions, transforming how Charles River operates.
Requirements
- Bachelor’s degree in computer engineering, Computer Science, or a related discipline (Master’s degree preferred)
- 3+ years of experience in ETL design, development, and performance tuning using the Microsoft BI Stack in a multi-dimensional data warehousing environment.
- 3+ years of advanced SQL programming expertise (PL/SQL, T-SQL)
- 1+ years of experience in Enterprise Data & Analytics solution architecture
- 1+ years of experience in Python Programming
- 1+ years of hands-on experience with Azure, especially for data-heavy/analytics applications leveraging relational and NoSQL databases, Data Warehousing, and Big Data solutions.
- 1+ years of experience with key Azure services: Azure Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions.
Benefits
- Collaborative and dynamic work environment
- Opportunities for growth and development
- Chance to work on life-saving therapies
Originally posted on Himalayas
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