Netflix Business Context & Data Engineering Role Questions
Understanding Netflix's business model, product strategy, and organizational context, with a focus on the Data Engineering role. Covers how Netflix operates in streaming, content recommendations, data platforms, and data engineering responsibilities, including data pipelines, platform architecture, and how business goals drive data work within Netflix.
HardTechnical
0 practiced
Design a pipeline that can safely apply late-arriving corrections and backfills to historical event data without corrupting derived features or dashboards. Describe approaches such as upserts, immutable data with tombstones, snapshotting, replay strategies, and how you'd minimize recompute cost while preserving correctness.
MediumSystem Design
0 practiced
Design a reliable ingestion pipeline capable of collecting 1,000,000 events per second from client devices globally for Netflix. Your design should cover data capture at the edge, transport and buffering, partitioning strategy, authentication, deduplication, and downstream dispatch to analytics, feature-store compute, and monitoring. Describe failure modes, trade-offs, and SLA targets for throughput and delivery guarantees.
MediumSystem Design
0 practiced
Outline a high-level data platform architecture similar to what Netflix might use: ingestion, message bus, streaming processing, batch compute, object storage, serving layers, metadata/catalog, and feature stores. As a Solutions Architect, describe the essential interfaces, SLAs, and operational handoffs you would expose to teams consuming the platform.
MediumSystem Design
0 practiced
Design a feature store architecture for Netflix-scale ML models. Cover offline batch computation, streaming/real-time updates, materialization strategies for training vs serving, consistency guarantees between offline and online features, storage choices, APIs for model training and inference, and operational monitoring. As a Solutions Architect, note deployment, replication, and cost trade-offs.
EasyTechnical
0 practiced
Explain how Netflix runs experimentation (A/B testing) at product scale. As a Solutions Architect, what data ingestion, assignment, logging, and data integrity guarantees must you design to support experiments that measure metrics like retention and watching time? Include deterministic assignment and mechanisms to prevent leakage.
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