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Updated weekly · Last refresh Sep 9

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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
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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