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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.

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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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