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Updated weekly · Last refresh Oct 17

Ampersand Data Engineer Interview Questions

The questions to prepare for a Ampersand Data Engineer interview. Questions from real interview reports rank first. Updated daily.

8questions
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1
PipelinesStart here. 3 questions · ~30 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityAmpersand
Low-Latency Athena Viewership PipelineHard

Tests end-to-end pipeline design for Ampersand viewership measurement with low-latency analytics.

ETLBatch ProcessingOrchestrationAmpersand
Optimizing Skewed Spark JobsHard

Tests performance tuning for skewed data in Spark, including partitioning and execution planning.

InfrastructureETLQualityAmpersand
2
More topics5 questions · ~50 min
Data Structures Coding ProblemMedium

Evaluates problem-solving skills using core data structures and analysis of complexity.

Data StructuresAlgorithmsAmpersand
Rolling 7-Day Unique ViewershipHard
Practice

Calculate daily rolling 7-day distinct viewership for campaign 1 across all assigned regions.

Window FunctionsDate FunctionsCTEsAmpersand
Join Types in Distributed SQLMedium

Tests understanding of distributed join strategies and choosing the right approach for performance.

JoinsData WranglingAggregationsAmpersand
Parse Nested Viewing Session JSONMedium

Tests practical Python skills for parsing nested JSON and structuring viewing-session data.

RecursionHash TablesStringsAmpersand
Big Data Leadership ScenarioMedium

Assesses leadership and decision-making on large-scale data initiatives.

Ampersand

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Python or R Analysis LibrariesMedium
Practice
Practice drill

Count unique respondents by Python or R library and return the most commonly used libraries first.

analytics toolsData ManipulationData WranglingOklahoma City Thunder
The finish line: interview-readyComplete all 8 questions plus 2 hands-on drills to finish this plan.