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Home/Questions/Behavioral/Tell me about a difficult challenge you faced in a data project and how you solved it

Tell me about a difficult challenge you faced in a data project and how you solved it

Behavioraleasy0.2 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

Situation: Migrating legacy Oracle/Java pipeline to Spark/S3 while maintaining zero downtime. Task: Validate and phase cutover. Action: Ran both systems in parallel; compared outputs. Incremental logic replication with unit tests. Built reconciliation framework. Phased cutover...

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Frequency
Low
Asked at 1 company
Category
144
questions in Behavioral
Difficulty Split
100E|18M|26H
in this category
Total Bank
1,863
across 7 categories
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Key Concepts Tested
spark
Expert Answer
50 words

Situation: Migrating legacy Oracle/Java pipeline to Spark/S3 while maintaining zero downtime. Task: Validate and phase cutover. Action: Ran both systems in parallel; compared outputs. Incremental logic replication with unit tests. Built reconciliation framework. Phased cutover by dataset. Addressed schema drift and performance. Result: 6 months; 10x latency improvement, cost reduction.

⚡
Pro Tip

Red Flag: 'It was hard but we did it.' Pro-Move: 'Parallel run, reconciliation framework, phased cutover—10x latency improvement, zero data loss.'

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According to DataEngPrep.tech, this is one of the most frequently asked Behavioral interview questions, reported at 1 company. DataEngPrep.tech maintains an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.

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