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Updated weekly · Last refresh Sep 22

Condé Nast Data Engineer Interview Questions

The questions to prepare for a Condé Nast Data Engineer interview. Questions from real interview reports rank first. Updated daily.

32questions
~5htotal time
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1
SQL & Data ManipulationStart here. 5 questions · ~48 min
Top Users by EngagementMedium
Practice

Rank Dayforce users by quarterly engagement and return the top 10% using aggregation and NTILE().

sql queryEngagement MetricsCondé Nast
SQL vs NoSQL for Go-to-Market DataEasy

Explain how SQL and NoSQL differ in schema, consistency, scaling, and Demandbase-style analytics use cases.

JoinsData WranglingCondé Nast
SQL Sorting and OrderingEasy
Practice

Sort every employee by salary from lowest to highest, placing missing salaries last.

Data ManipulationSortingsqlCondé Nast
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2
Pipelines10 questions · ~97 min
Data Modeling Tools and ArchitectureEasy

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

InfrastructureToolsData ModelingCondé Nast
Data Governance in PipelinesMedium

Describe a practical approach to data governance across shared data pipelines, including quality, ownership, lineage, and controlled data access.

InfrastructureQualityCondé Nast
Design Scalable Pipeline InfrastructureHard

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityCondé Nast
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3
Coding3 questions · ~29 min
Handle Missing Values in PythonMedium

Tests data cleaning skills and correct handling of missingness in Python workflows.

Hash TablesArraysStringsCondé Nast
Average of a List in PythonEasy
Practice

Compute a list's arithmetic mean using a linear scan and constant extra space.

aggregationMathArraysCondé Nast
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4
Behavioral & Leadership14 questions · ~135 min
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