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experience (middle/high school, club, all-star and/or collegiate level) Preferred Qualifications Additional Preferred Qualifications Ability to communicate and adhere to Conference and NCAA policies
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storage, data lakes, data lakehouses, and data warehouses Understanding of data warehouse architecture patterns (e.g., Medallion Architecture, OBT, Materialized View Pattern, Star-Schema, etc.) Knowledge
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quality, data enrichment and standardization, and data modeling Solid understanding of data warehouse architecture patterns, such as star schema, One Big Table (OBT), materialized view architecture, etc
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