Amazon Data Manipulation (SQL/Python) Interview Questions
The 772 Amazon questions collected here spread across every stage candidates report: 369 come from technical screens, 261 from onsite rounds and 67 from online assessments, with a dozen recruiter screens. Software Engineer accounts for 380 questions, Data Scientist 203, Machine Learning Engineer 75, Product Manager 29 and Business Intelligence Engineer 15. Coding & Algorithms is the largest category at 243, but Behavioral & Leadership sits close behind at 156, ahead of Machine Learning at 78, Data Manipulation (SQL/Python) at 67 and System Design at 58. Difficulty runs 501 medium, 150 hard and 59 easy. The coding side is pattern-heavy: validating properly nested brackets, finding the earliest pair with a target sum, returning the maximum of every sliding window, counting customers who visited on multiple dates. Design prompts stay close to product surfaces, from a recursive file-search API to a reliable AI chatbot architecture. The behavioral set is the raw material for Leadership Principles stories: delivering under a tight deadline without hiding risk, making progress when requirements are ambiguous, finding and fixing a root cause, turning critical feedback into a measurable improvement. 105 questions were added in the last 90 days, six are tagged as AI-assisted rounds, and 71 first-hand interview experiences are on the site.
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