Top 50
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Updated weekly · Last refresh Aug 30

Microsoft Data Engineer Interview Questions

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

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1
SQL & Data ManipulationStart here. 15 questions + 1 drill · ~154 min
First and Last User EventsMedium
Practice
Recently asked

Use CTEs, LEFT JOINs, and ROW_NUMBER to return each active user's first and last event with deterministic tie-breaking.

Window FunctionsDate FunctionsRankingMicrosoft
Flag and Remove Duplicate CustomersMedium
Practice
Recently asked

Use a CTE and ROW_NUMBER to identify duplicate customer records, keep one row, and flag the rest.

Window FunctionsData WranglingCTEsMicrosoft
Schema Design for Analytics vs OLTPMedium
Recently asked

Explain how to choose normalized or denormalized schemas for transactional and analytics workloads, including trade-offs in performance and data quality.

JoinsData WranglingAggregationsMicrosoft
Optimize SQL for Large DatasetsHard
Practice
Recently asked
Practice drill

Optimize a large Microsoft Teams engagement query using early filtering, pre-aggregation, joins, and LAG for weekly trends.

SubqueriesData WranglingCTEsMicrosoft
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2
Coding15 questions · ~144 min
Palindrome Check FunctionEasy
Practice
Recently asked

Determine if a string reads the same forward and backward using a two-pointer scan.

StringsTwo PointersMicrosoft
Anagram Checking FunctionEasy
Practice
Recently asked

Determine whether two MSCI labels are anagrams by comparing character frequencies in linear time.

StringsimplementationMicrosoft
Merge Overlapping IntervalsMedium
Practice
Recently asked

Sort intervals by start time, then merge overlapping ranges into a minimal non-overlapping list.

ArraysSearchingSortingMicrosoft
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3
Pipelines16 questions · ~154 min
Data Validation in ETL PipelinesMedium

Approach for validating ETL data with schema, business rule, and pipeline-level checks.

strategiesETLdata validationMicrosoft
Data Quality and Schema EvolutionMedium
Recently asked

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityMicrosoft
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4
Behavioral & Leadership4 questions · ~38 min
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.