Scribd Data Engineer Interview Questions
The questions to prepare for a Scribd Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain a complex ETL transformation you built, including the main challenges and how you handled them.
ScribdDiscuss how cloud storage fits into ETL pipelines, including staging, data quality, and operational monitoring.
ScribdKey security considerations for a cloud data pipeline, from ingestion through storage, orchestration, and monitoring.
ScribdTests query tuning skills such as indexing, partitioning, and execution plan interpretation.
ScribdTests ability to reduce manual work through scripting, ETL, and repeatable processes.
ScribdTests performance debugging and optimization techniques across pipeline and query layers.
ScribdWrite a SQL query to calculate the retention rate of users who engaged with a specific document category over the last 90 days at Scribd. Treat a user as r...
ScribdUse CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.
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Tests practical data cleaning skills and ability to write robust, testable code.
ScribdTests algorithmic analysis and ability to justify performance versus other constraints.
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