KPMG Data Engineer Interview Questions
The questions to prepare for a KPMG Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Parse email local parts and create first-name values while preserving malformed leading separators.
KPMGTraverse nested JSON recursively and return all even integers in depth-first order.
KPMGRemove repeated list items while preserving the order of their first appearances using a hash set.
KPMGCompare row counts produced by FULL OUTER JOIN, UNION ALL, and CROSS JOIN in PostgreSQL.
KPMGIdentify the two products with the highest unit sales in each year using aggregation and ranking.
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Explain the ETL process, why it matters, and how it fits into a practical data pipeline.
KPMGApproach for handling schema changes and data quality checks in a high-volume data lake pipeline.
KPMGExplain how a CI/CD pipeline is structured and why YAML is commonly used to define it.
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