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Describe a situation where you made a mistake in a data pipeline. How did you identify and fix it?

SQLeasy0.5 min read

**Situation**: Pipeline bug applied wrong exchange rates to multi-currency transactions for one week. **Task**: Correct data and prevent recurrence. **Action**: Finance spotted discrepancies; traced to pipeline. Found hardcoded rate in UDF. Fix: (1) Corrected UDF to use rate...

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Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Amazon

Why This Question Matters

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

How to Approach This

Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.

Expert Answer
92 words

Situation: Pipeline bug applied wrong exchange rates to multi-currency transactions for one week. Task: Correct data and prevent recurrence. Action: Finance spotted discrepancies; traced to pipeline. Found hardcoded rate in UDF. Fix: (1) Corrected UDF to use rate lookup table. (2) Identified affected date range. (3) Backfilled with correct rates. (4) Communicated to stakeholders. (5) Added integration test for rate logic. (6) Implemented reconciliation checks. Result: Data corrected in 2 days. Leadership: Took ownership; transparent communication; drove preventive measures. Outcome: Code review mandate; unit tests for business logic; monitoring for rate anomalies.

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