Stackadapt Data Engineer Interview Questions
The questions to prepare for a Stackadapt Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Implement a set-like structure using an array and hash map to support insert, delete, and random access in average O(1) time.
StackadaptCompute rolling averages over a stream using a fixed-size sliding window and queue in O(1) update time.
StackadaptCompute the probability that a target coin is heads given observed outcomes and an exact total number of heads using dynamic programming.
StackadaptDesign a real-time event pipeline that can handle millions of events per second with sub-second latency.
StackadaptApproach for visualizing streaming data when events arrive late, out of order, or with uneven latency.
StackadaptTests system design trade-off analysis for scalable, low-latency ad-tracking data pipelines at Stackadapt.
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Tests ownership in diagnosing and fixing a slow data pipeline, with emphasis on root-cause analysis, communication, and measurable impact.
StackadaptTests understanding of indexing internals and how they impact query performance.
StackadaptUse CASE and COALESCE to standardize missing StackAdapt campaign metrics and count incomplete rows by campaign.
Stackadapt
CventUse joins, a CTE, CASE expressions, and monthly pivoting to compare Lucid campaign performance across channels.
Lucid MotorsUse CTEs, joins, aggregations, and CASE logic to combine Salesforce, Marketo, and Google Analytics into one monthly campaign report.
Palo Alto Networks