Top 50
Prep plan
Updated weekly · Last refresh Aug 30

OpenTable Data Engineer Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 9 questions · ~79 min
Merge Two Sorted Linked ListsEasy
Practice

Merge two sorted singly linked lists into one sorted list by relinking existing nodes.

RecursionLinked ListsSortingOpenTable
Duplicate Records DetectionMedium
Practice

Find repeated OpenTable reservation records in one pass using canonical dictionary keys and hash sets.

Hash TablesArraysOpenTable
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2
Pipelines26 questions · ~228 min
Backfilling Missing Pipeline DataMedium

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityOpenTable
Production Pipeline Quality MonitoringMedium

Approach for adding data quality checks, observability, and production monitoring to a data pipeline.

Data QualitymonitoringobservabilityOpenTable
Backfill While Preserving Real TimeHard

Approach for running large historical backfills without breaking real-time pipeline freshness or correctness.

Stream ProcessingDependenciesBackfillingOpenTable
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3
SQL & Data Manipulation13 questions + 3 drills · ~144 min
Normalization vs Denormalization TradeoffsMedium

Explain normalization, why it improves data integrity, and when denormalization is a practical performance tradeoff.

schema designperformanceData ModelingOpenTable
SQL vs NoSQL DifferencesEasy

Tests foundational database knowledge and when to choose each type.

JoinsData WranglingOpenTable
Model Data for New FeaturesHard

Assesses your ability to design flexible schemas that evolve with product requirements.

JoinsData WranglingAggregationsOpenTable
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
More topics2 questions · ~18 min
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.