Publicis Sapient Data Engineer Interview Questions
The questions to prepare for a Publicis Sapient Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Find duplicate customer profiles by grouping on identifying fields and returning only repeated records.
Publicis SapientTests your ability to describe real SQL work and the reasoning behind query design.
Publicis SapientCalculate month-over-month sales growth for each product category using JOINs and window functions.
Wayfair
REVOLVE
FanaticsUse joins, CTEs, and monthly aggregation to compute Google Maps active users and month-over-month growth.
Engine
Google
ZoomInfo TechnologiesApproach for maintaining data quality and integrity across ETL pipelines.
Publicis SapientExplain the ETL process, why it matters, and how it fits into a practical data pipeline.
Publicis SapientDesign the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.
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Tests your ability to write scalable PySpark code for big data transformations.
Publicis SapientTests your practical Spark coding skills for data processing tasks.
Publicis SapientTests your understanding of transformation design and implementation details in PySpark.
Publicis Sapient