Senior
Build scalable Spark/Scala data pipelines for Pinterest's CTV ad platform, tvScientific
Interview for a Senior Data Engineer IC role within tvScientific, Pinterest's CTV performance-advertising platform. Expect deep Spark/Scala and AWS data-infrastructure system design, SQL depth, and Pinterest's stated AI-collaboration interview philosophy where explaining your reasoning matters as much as the answer.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
可能的面试形态
Pinterest's process explicitly incorporates AI-collaboration evaluation — be ready to explain your reasoning and approach, not just your final answer, per their published AI interview philosophy.
这场面试考什么
- Spark and Scala data infrastructure
- AWS data engineering (storage, compute, scaling)
- SQL for data manipulation/extraction
- Fault-tolerant batch and streaming pipeline design
- Critical evaluation of AI-assisted work
常见提问方向
Design a fault-tolerant batch and streaming data pipeline in Spark/Scala on AWS
How would you choose a storage format (Iceberg, Delta, or other) for a fast-growing dataset
Walk through a time you optimized a data pipeline for scale
How do you verify or critically evaluate AI-assisted engineering work
Experience with data governance, data quality, or access controls in adtech-like environments
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