Sr. Data EngineerAn employer in the life sciences industry is looking for a Sr. Data Engineer to join the team onsite.
This person will spend 60% of their day using PySpark and Databricks to develop ETL processes. This person will work with various on-premise staging platforms in AWS and will need to make use of appropriate Python libraries for 20% of their day--the team works in an AWS environment. The Sr.
Data Engineer will handle data integrations and pipeline development within data warehousing for 10% of their day. They will spend the remainder of their day working with other developers to guide them and collaborate to define/refine solutions. This person will also use SQL to write complex queries, optimize and debug queries.