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Updated weekly · Last refresh Oct 28

Holmes Murphy & Associates Data Engineer Interview Questions

The questions to prepare for a Holmes Murphy & Associates Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
PipelinesStart here. 7 questions · ~56 min
Optimize Multi-Terabyte ETL PipelineMedium

Explain how you improved a slow ETL pipeline on multi-terabyte data, including bottleneck analysis, tuning choices, and validation.

ETL optimizationdata processingperformanceHolmes Murphy & Associates
Data Modeling Tools and ArchitectureEasy

Preferred tools and patterns for data modeling and pipeline architecture in a modern data platform.

InfrastructureToolsData ModelingHolmes Murphy & Associates
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityHolmes Murphy & Associates
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2
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Extract Unique Records in SQLEasy

Tests proficiency writing correct SQL for deduplication and uniqueness constraints.

SubqueriesData WranglingHolmes Murphy & Associates
Importance of Data NormalizationMedium

Tests understanding of relational modeling tradeoffs and how normalization affects data integrity.

JoinsData WranglingGroup ByHolmes Murphy & Associates
Handling Missing ValuesMedium

Tests data cleaning decisions and handling missingness in analytics and reporting pipelines.

Data WranglingCase WhenAggregationsHolmes Murphy & Associates
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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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
3
Behavioral & Leadership7 questions · ~56 min
Owning the Data Engineer RoleEasy

Tests role understanding, ownership, and cross-functional execution through a concrete example of delivering a reliable data solution.

company fitrole expectationstechnical experienceHolmes Murphy & Associates
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4
More topics1 question · ~8 min
Implementing Python Data TransformationsMedium

Tests ability to write maintainable Python transformations for structured data processing.

Hash TablesArraysStringsHolmes Murphy & Associates

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