XenonStack Data Engineer Interview Questions
The questions to prepare for a XenonStack Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain how you improved a slow ETL pipeline on multi-terabyte data, including bottleneck analysis, tuning choices, and validation.
Discuss how cloud storage fits into ETL pipelines, including staging, data quality, and operational monitoring.
Evaluates how you design reliable scheduling, dependencies, and execution for ETL workflows.
Assesses your tradeoffs for running data pipelines in serverless environments.
Assesses your understanding of Spark APIs and when to choose PySpark versus native Spark.
Compare Python lists and tuples, including mutability, performance, and when each should be used.
Explain how UNION and UNION ALL differ when combining result sets, especially around duplicate handling and performance.
Compare BFS and DFS graph traversal, including order, data structures, and when each is preferred.
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Rewrite a slow PostgreSQL loan payment query to reduce scanned rows while preserving the required aggregated results.
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