
Amazon
Mid
AWS SDE building distributed query-engine capabilities for Amazon Athena, alongside senior/principal engineers on Hive, Spark and Presto internals
This role is on the small, entrepreneurial Amazon Athena team inside AWS, building new big-data query capabilities from the ground up on top of open-source frameworks like Hive, Spark, and Presto, with a bar around distributed systems and query engine depth. Basic qualifications point to roughly 3+ years of professional software development with distributed/multi-threaded systems experience, placing this solidly at mid-level despite the high-caliber team.
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
Amazon's standard SDE loop: online coding assessment, then phone/virtual onsite rounds mixing coding, system design/architecture, and Leadership Principles behavioral interviews (STAR format), per Amazon's well-known public process.
这场面试考什么
- Distributed systems and query engine design (e.g., Presto/Hive/Spark-style architecture)
- Coding fundamentals: data structures, algorithms, testable code
- Large-scale, high-performance production system design
- Amazon Leadership Principles behavioral interviewing (STAR)
- Technical mentorship despite being an IC role
常见提问方向
Design a distributed query execution system that scales to petabytes of data
Coding round: implement and optimize a data structure/algorithm problem with complexity analysis
How a distributed SQL engine plans, optimizes, and executes a query across nodes
STAR story: driving a strategic technical project from design to production
STAR story: mentoring or providing technical leadership to other engineers
Tradeoffs in reliability/scaling for a new system built 'from the ground up'
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