Electronic Arts (Ea) Data Engineer Interview Questions
The questions to prepare for a Electronic Arts (Ea) Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a real-time event pipeline that can handle millions of events per second with sub-second latency.
Electronic Arts (Ea)Explain the ETL process, why it matters, and how it fits into a practical data pipeline.
Electronic Arts (Ea)Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.
Electronic Arts (Ea)Explain how SQL and NoSQL differ in schema, consistency, scaling, and Demandbase-style analytics use cases.
Electronic Arts (Ea)Explain how to profile, clean, and standardize missing or dirty data before analysis.
Electronic Arts (Ea)Tests understanding of normalization principles and their impact on data quality and analytics.
Electronic Arts (Ea)Rank EA players by total spend within each region and return the top three using aggregation and ROW_NUMBER().
Electronic Arts (Ea)Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreFilter invalid game events and normalize event names using PostgreSQL string and null handling.
Quantium
Scopely
CarvanaCompute the average EA SPORTS FC session duration by scanning session records once.
Electronic Arts (Ea)Tests ability to design data structures for fast metric access in data engineering workloads.
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