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Data Engineer

Milwaukee, WI
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-of[1]the-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

Key Responsibilities
  • 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

Required Qualification
  • 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.
  • Azure MSBI Architect/Develop Experience (ADF, Azure SQL DB, ADLS, Databricks, SSAS)
  • Data warehouse, OLAP/Cube, Tabular Model/Cube design experience using Kimball Method best practices
  • 5-7 years of experience building data warehouse models, and is familiar with the following software/tools:
o Snowflake on Azure
o Databricks
 

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