Blackstraw.ai Data Engineer Interview Questions
The questions to prepare for a Blackstraw.ai Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Compare batch and streaming data processing, including when each fits best in a pipeline.
Blackstraw.aiTests understanding of Spark partitioning behavior and how it impacts shuffle and performance.
Blackstraw.aiTests ability to tune Spark execution through configuration, caching, and memory management.
Blackstraw.aiTests dimensional modeling knowledge and correct selection of SCD strategies for changing attributes.
Blackstraw.aiTests understanding of storage and query architectures across big data and relational systems.
Blackstraw.aiTests understanding of SQL semantics, storage, and performance tradeoffs for views versus materialized views.
Blackstraw.aiTests ability to choose efficient join strategies and reason about data size and execution plans.
Blackstraw.aiRank Balyasny research models by average return within each asset class using DENSE_RANK and aggregation.
Balyasny Asset ManagementUse RANK() and grouped revenue to find ServiceTitan's top three service categories in each region.
ServiceTitanFind the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.
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Assesses your practical experience delivering end to end data pipelines in production-like environments.
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