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Updated weekly · Last refresh Aug 30

CORAS Data Engineer Interview Questions

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

25questions
~4htotal time
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1
CodingStart here. 3 questions · ~27 min
Merge Two Sorted Linked ListsEasy
Practice

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

RecursionLinked ListsSortingCORAS
Choosing Data Structures at ScaleEasy

Explain which data structures work best for large datasets based on access patterns, memory use, and update costs.

Hash TablesArraysHeapCORAS
Choosing Data Structures for ProblemsMedium

Explain how to choose the right data structure based on access patterns, constraints, and complexity tradeoffs.

Hash TablesTreesGraphsCORAS
2
Pipelines20 questions · ~177 min
Handling a Production Pipeline FailureEasy

Describe a real production pipeline failure, how you diagnosed and fixed it, and what changes you made around orchestration, quality, and reruns.

InfrastructureIdempotencyQualityCORAS
Real-Time Dashboard Pipeline DesignHard

Approach for building near-real-time dashboard pipelines with streaming, orchestration, and data quality controls.

Stream ProcessingSchedulingDependenciesCORAS
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityCORAS
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3
More topics2 questions · ~18 min
Optimizing Slow SQL QueriesMedium

Tests your SQL performance troubleshooting and optimization approach.

Window FunctionsJoinsAggregationsCORAS
Writing Practical SQL QueriesEasy

Tests your ability to write correct SQL for data extraction and manipulation.

JoinsData WranglingAggregationsCORAS
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
The finish line: interview-readyComplete all 25 questions plus 3 hands-on drills to finish this plan.