Berkley Technology Services→
Data Engineer Intern at Berkley Technology Services in Urbandale, IA
InternshipOn-siteUrbandale, IA
Skills
etl developmentdatabricks notebooksazure data factory (adf)enterprise schedulersqlstored proceduresapisinsurance datareinsurance datafinancial datarobotic process automation (rpa)pythonuipathdatastagesql server integration services (ssis)redgatefivetran
Job Description
Summary: Berkley Technology Services (BTS) is a dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. The Data Engineer Intern will partner with experienced data warehouse engineers and architects to gain hands-on experience related to the Berkley data warehouse, focusing on developing ETL processes and collaborating with technical teams.
Responsibilities:
- Develop ETL processes using Databricks Notebooks or ADF
- Develop and utilize Enterprise scheduler
- Develop Databricks Notebooks, SQL, Stored Procedures, API’s
- Develop understanding of insurance, reinsurance, and financial data
- Develop RPA utilizing Python and/or UiPath
- Assist with implementation and management of DataStage, SSIS, Redgate,Fivetran,UiPath
- Collaborate with peer technical teams
Required Qualifications:
- At least three years of college or university coursework completed; preference is for some coursework related to computer science or similar area of study
- Registered student or recent graduate pursuing a major in an IT-related degree
- BTS is seeking to fill this position on a permanent basis and for those reasons, the Company is not considering applicants who require visa sponsorship now, or at any time in the future, for this particular role. (OPT, F-1, J-1, CPT)
Preferred Qualifications:
- Prior related co-op, internship, and/or on or off-campus technical experience preferred but not required
- Computer Science Club member a bonus but not a requirement
- Experience leading group projects in a classroom, internship/co-op, and/or professional setting is a plus
Required Skills: ETL development, Databricks Notebooks, Azure Data Factory (ADF), Enterprise scheduler, SQL, Stored Procedures, APIs, Insurance data, Reinsurance data, Financial data, Robotic Process Automation (RPA), Python, UiPath, DataStage, SQL Server Integration Services (SSIS), Redgate, Fivetran