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Updated weekly · Last refresh Aug 30

KMS Technology Data Engineer Interview Questions

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

25questions
~4htotal time
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1
CodingStart here. 3 questions · ~28 min
Merge Two Sorted ArraysEasy
Practice

Merge two sorted arrays into one sorted array using a two-pointer linear scan.

ArraysSortingTwo PointersKMS Technology
Graph Algorithm Problem SolvingHard

Tests algorithmic problem-solving skills and correct implementation of graph methods.

SearchingGraphsHeapKMS Technology
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2
SQL & Data Manipulation7 questions + 2 drills · ~85 min
SQL Duplicate DetectionEasy
Practice

Find duplicate customer profiles by grouping on identifying fields and returning only repeated records.

Group ByHavingAggregationsKMS Technology
Improve Data Retrieval SpeedMedium

Tests performance engineering across storage, indexing, and query patterns.

JoinsindexesAggregationsKMS Technology
Structured vs Unstructured DataEasy

Tests your foundational understanding of data types used in analytics and modeling.

JoinsData WranglingKMS Technology
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
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
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3
Pipelines9 questions · ~84 min
Diagnose an Integration Pipeline IssueMedium

Structured approach to diagnose failures in an ETL integration, from source extraction through orchestration, data quality, and idempotent recovery.

ToolsDependenciesQualityKMS Technology
Data Modeling Tools and ArchitectureEasy

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

InfrastructureToolsData ModelingKMS Technology
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLKMS Technology
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4
Behavioral & Leadership6 questions · ~56 min
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The finish line: interview-readyComplete all 25 questions plus 2 hands-on drills to finish this plan.