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Amazon Deequ usage and what sort of quality checks are done using it?

Python/Codingeasy0.2 min readPremium

**Deequ**—AWS data quality library. **Checks:** Completeness (non-null), uniqueness, consistency (constraints), statistics. **Example:** customer_id unique; age 0–120. **Output:** CloudWatch metrics. **Glue:** Profiling integration. **Why:** Code-defined checks; CI integration....

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Frequency
Low
Asked at 1 company
Category
179
questions in Python/Coding
Difficulty Split
127E|24M|28H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Citi
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Pro-Move: Anomaly detection + CI integration. Red Flag: Ad-hoc checks without automation.

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This easy-level Python/Coding question appears frequently in data engineering interviews at companies like Citi. While less common, it tests deeper understanding that distinguishes strong candidates.

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Expert Answer
42 words

Deequ—AWS data quality library. Checks: Completeness (non-null), uniqueness, consistency (constraints), statistics. Example: customer_id unique; age 0–120. Output: CloudWatch metrics. Glue: Profiling integration. Why: Code-defined checks; CI integration. Scalability: AnomalyDetection for drift. Cost: Minimal—runs with Glue. Production: Checks in code; lineage in catalog.

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According to DataEngPrep.tech, this is one of the most frequently asked Python/Coding interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.

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