Top 26
Prep plan
Updated weekly · Last refresh Oct 17

Stratasan Data Engineer Interview Questions

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

26questions
~4htotal time
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1
CodingStart here. 3 questions · ~30 min
Deduplicating Records FunctionEasy
Practice

Remove duplicate Hilton Grand Vacations records by identifier while preserving first-seen order using a hash set.

Hash TablesArraysSortingStratasan
Basic Python Transformation PipelineMedium
Practice

Implement a Python pipeline that filters, normalizes, converts, and aggregates records deterministically.

Hash TablesaggregationCodingStratasan
Algorithms for Large DatasetsHard

Tests your understanding of scalable algorithms and performance tradeoffs for big data.

SearchingSortingGreedyStratasan
2
Pipelines18 questions · ~177 min
Structured vs Unstructured DataEasy

Explain how structured and unstructured data differ, and why that matters for pipeline design and downstream processing.

ETLData ModelingQualityStratasan
Data Modeling Tools and ArchitectureEasy

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

InfrastructureToolsData ModelingStratasan
Secure DevOps Data PipelinesMedium

Approach for embedding security controls into data pipeline delivery, orchestration, and operations.

InfrastructureOrchestrationQualityStratasan
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3
SQL & Data Manipulation3 questions + 2 drills · ~50 min
Top 10 Patients SQL QueryMedium
Practice

Aggregate non-null treatment outcomes per patient and return the 10 highest average scores with deterministic tie-breaking.

null handlingRankingGroup ByStratasan
Indexing for Database OptimizationMedium

Tests your understanding of query planning, indexing strategies, and performance tuning fundamentals.

JoinsData WranglingAggregationsStratasan
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
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4
More topics2 questions · ~20 min
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The finish line: interview-readyComplete all 26 questions plus 2 hands-on drills to finish this plan.