Capgemini Data Engineer Interview Questions
The questions to prepare for a Capgemini Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Use window functions to flag duplicate worklogs and calculate project running totals with prior and next hour comparisons.
CapgeminiCompare star and snowflake schemas for warehouse design, including trade-offs in normalization, query simplicity, and analytics performance.
CapgeminiAssesses understanding of SCD strategies and implementation details for dimensional data.
CapgeminiUse CTEs, aggregations, and window functions to compare gender pay and find each department's second-highest salary.
MeeshoUse joins, a CTE, and aggregations to calculate average vehicle idle minutes in a specific geographic zone.
WaymoApproach for handling schema changes and data quality checks in a high-volume data lake pipeline.
CapgeminiAssesses architecture tradeoffs for reliable ingestion of semi-structured data.
CapgeminiAssesses ability to build reliable, testable, observable data pipelines with lineage.
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Tests ownership and prioritization under pressure during a high-severity production incident, including communication and recovery discipline.
CapgeminiTests ability to transform nested semi-structured data into analysis-ready tables.
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