Position: Senior Data Engineer
Location: Milwaukee, WI
Duration: 12+ Months
The Client is seeking an experienced, highly motivated Data Engineer who will support and maintain a state-ofthe-art Analytics CoE using Snowflake SaaS services. The ideal candidate must have strong experience building and managing enterprise data warehouse, data mart, multi-dimensional cubes, business intelligence and analytics solutions. The candidate will assist in building a functional DataOps practice utilizing custom and purchased platforms
Delivers extensive data warehouse, data mart, multi-dimensional cube, business intelligence and analytics solutions.
Monitor and analyze EDR data model performance and data accuracy.
Responsible for streamlining dataflow pipelines utilizing Snowflake on Azure.
Design and develop Azure Business Intelligence (BI) stack solutions utilizing ADF, Databricks, SSAS.
Build ELT and ETL pipelines for data ingestion of structured/semi-structured data (JSON, XML, CSV, Parquet)
Assist in designing, building, and improving the DataOps practice
7+ years' practical experience in the data modeling field.
Has a bachelor’s or higher degree in Computer Science or another quantitative field.
Experience working with and creating enterprise architectures in data warehouse platforms such as Snowflake.