Design a event-driven Data Pipeline System

Last updated: June 23, 2026

Quick Overview

Design a event-driven data pipeline system handling millions of requests. Discuss consistency, availability, and performance trade-offs.

Walmart
ML System Design
Machine Learning Engineer
Walmart
June 23, 2026
Machine Learning Engineer
Technical Screen
ML System Design
Medium

533

8

177 solved

Design a event-driven data pipeline system handling millions of requests. Discuss consistency, availability, and performance trade-offs.

How to Approach This
  1. Start by mapping the business objective to a concrete ML objective and metric.
  2. Cover the full pipeline: data collection, feature engineering, model selection, training, serving.
  3. Discuss online vs offline evaluation. Plan an A/B test to validate real-world impact.
  4. Address the serving latency budget and whether batch or real-time inference is needed.
  5. Think about the data flywheel: how user feedback improves the model over time.
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