Top 41
Prep plan
Updated weekly · Last refresh Aug 30

Zendesk Data Engineer Interview Questions

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

41questions
~6htotal time
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1
CodingStart here. 8 questions · ~68 min
Merge Two Sorted ArraysEasy
Practice

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

ArraysSortingTwo PointersZendesk
Graph Traversal or Tree ManipulationHard

Tests core coding problem-solving skills and correctness under constraints.

RecursionTreesGraphsZendesk
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2
Pipelines18 questions · ~154 min
Batch vs Stream Processing Trade-offsMedium

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

InfrastructureStream ProcessingETLZendesk
Explain ETL in Data EngineeringEasy

Explain the ETL process, why it matters, and how it fits into a practical data pipeline.

ETLOrchestrationQualityZendesk
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityZendesk
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3
SQL & Data Manipulation7 questions + 3 drills · ~90 min
SQL vs NoSQL DifferencesEasy

Tests foundational database knowledge and when to choose each type.

JoinsData WranglingZendesk
Handling Missing ValuesEasy

Tests data quality handling choices and tradeoffs for downstream pipeline reliability.

Data WranglingCase WhenAggregationsZendesk
Indexing and Query PerformanceEasy

Tests understanding of indexing tradeoffs and impact on query performance.

JoinsData WranglingAggregationsZendesk
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
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4
Behavioral & Leadership8 questions · ~68 min
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The finish line: interview-readyComplete all 41 questions plus 3 hands-on drills to finish this plan.