UC San Francisco Data Engineer Interview Questions
The questions to prepare for a UC San Francisco Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Redesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.
UC San FranciscoDiscuss practical experience using a data warehouse for analytics, including loading, transformation, orchestration, and data quality.
UC San FranciscoPreferred tools and patterns for data modeling and pipeline architecture in a modern data platform.
UC San FranciscoTests query tuning skills, indexing, and performance troubleshooting in SQL-based pipelines.
UC San FranciscoTests breadth of database experience relevant to building and operating UC San Francisco data systems.
UC San FranciscoTests understanding of database models and when to choose each for data engineering needs.
UC San FranciscoReplace missing sales fields with defined defaults and return a consistently ordered dataset.
University of Minnesota
The Home Depot
NationwideUse aggregation and ranking to find the three highest-rated departments within each UCSF hospital.
UC San FranciscoCalculate each active RpmGlobal Enterprise Planning user's 30-day rolling average of daily activity.
Tavant
Rpmglobal
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Tests algorithmic thinking and ability to reason about performance for data transformations.
UC San FranciscoTests practical coding ability for data preparation tasks used in production pipelines.
UC San Francisco