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Zalando Data Engineer Interview Questions

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

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Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQuality
ZZalando
Batch vs Streaming Data Processing
Easy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch Processing
ZZalando
Data Quality in ETL Pipelines
Easy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQuality
ZZalando
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SQL vs NoSQL Trade-offsEasy

Explain SQL vs NoSQL trade-offs, including schema design, consistency, scaling, and query flexibility.

JoinsData WranglingAggregations
ZZalando
Optimize a Slow SQL Query
Hard

Tests SQL performance tuning and reasoning on large datasets.

large datasetsperformance
ZZalando
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Retry Failed API Calls
Medium

Evaluates resilience design for data pipelines handling external failures.

data pipelineretry mechanism
ZZalando
Flatten Nested JSON to Table
Medium

Assesses your ability to implement reliable data transformations for semi-structured inputs.

coding challenge
ZZalando
Analyze Time and Space
Medium

Assesses algorithmic thinking and complexity trade-offs.

space complexitytime complexitydata processing
ZZalando
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