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Updated weekly · Last refresh Oct 17

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 daily.

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
Implement a Cache Data StructureMedium

Tests understanding of core data structures and cache design tradeoffs.

Hash TablesLinked ListsHeapKMS Technology
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
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
Optimize a Slow SQL QueryHard
Practice
Practice drill

Rewrite a slow PostgreSQL loan payment query to reduce scanned rows while preserving the required aggregated results.

database optimizationJoinsData WranglingAmeripriseEEltro Cyberchrome PrivateEnergyHub
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3
Pipelines9 questions · ~84 min
Design Real-Time Operations Dashboard PipelineHard

Design a pipeline for a real-time operational dashboard, covering streaming ingestion, modeling, data quality, and dashboard serving.

InfrastructureStream ProcessingQualityKMS Technology
Data Modeling Tools and ArchitectureEasy

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

InfrastructureToolsData ModelingKMS Technology
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
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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.