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Updated weekly · Last refresh Oct 17

Procter & Gamble Data Engineer Interview Questions

The questions to prepare for a Procter & Gamble Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 4 questions · ~46 min
Optimize a Slow SQL Query in AzureMedium
Practice

Optimize a PostgreSQL aggregation query by filtering early, preserving index usage, and reducing rows before joins.

database optimizationJoinsindexesProcter & Gamble
Rolling 7-Day Average by RegionMedium
Practice

Calculate each product-region's rolling 7-day average sales using daily aggregation and calendar-aware windowing.

Window FunctionsDate FunctionsData ManipulationProcter & Gamble
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2
System Design5 questions · ~57 min
Design a Region-Wide Sales PipelineHard

Design a reliable ETL pipeline that cleans, transforms, and loads multi-region sales data into a reporting layer.

data ingestionarchitecture patternsdata collectionProcter & Gamble
Real-Time Streaming with Spark Structured StreamingHard

Design a reliable real-time streaming pipeline using Spark Structured Streaming, including state, checkpoints, delivery guarantees, and monitoring.

distributed systemsdata ingestiondata streamsProcter & Gamble
Orchestrate a Pipeline with Azure Data FactoryMedium

Explain Azure Data Factory components and design a reliable pipeline orchestration flow.

cloud architecturedata ingestionarchitecture patternsProcter & Gamble
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3
Pipelines7 questions · ~80 min
Design Petabyte-Scale Log Streaming PipelineHard

Design a Databricks-native real-time log pipeline processing 1.5-3 PB/day with sub-90-second latency, replayability, and strong data quality controls.

InfrastructureStream ProcessingQualityProcter & Gamble
Star vs Snowflake SchemaEasy

Compare star and snowflake schemas in a warehouse pipeline, including structure and transformation trade-offs.

snowflake schemastar schemaData ModelingProcter & Gamble
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4
More topics3 questions · ~34 min
Clustered vs Non-Clustered IndexesMedium
Practice

Simulate clustered and non-clustered access paths using sorted records, binary search, and a key-to-record mapping.

Data StructuresAlgorithmsProcter & Gamble
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