Bachelor's degree in Information Systems, Computer Science, Engineering, Business Administration, Data Analytics, or related field.
5+ years of hands-on data engineering, integration engineering, or analytics engineering experience, OR Master's degree and 6+ years.
Production experience building and operating Spark/PySpark pipelines.
Experience integrating enterprise systems (Salesforce, SAP, GIS, or equivalent) into an analytics platform.
Experience building and maintaining Power BI reports, including DAX and data model optimization.
SQL and Python proficiency.
Experience with multi-tier enterprise technology environments
Experience building and implementing technology solutions involving enterprise applications, information/data models, integrations, spatial technologies, analytics, or solution architecture within a complex enterprise or utility environment.
Experience gathering and documenting business requirements.