Amazon vs Snowflake Interview Questions

Amazon lists 1,968 LeetCode interview questions while Snowflake lists 100. They share 87 problems — 4% of Amazon's bank and 87% of Snowflake's. Focus on the overlap first, then drill into 1,881 Amazon-only and 13 Snowflake-only questions.

Read the full Amazon vs Snowflake preparation guide →

Overview

Amazon

1,968 questions

Easy 527Medium 1074Hard 367
Snowflake

100 questions

Easy 13Medium 67Hard 20

Preparation Strategy

Step 1 — Shared core: Solve the 87 overlapping problems first. These are the highest-yield questions for candidates interviewing at both Amazon and Snowflake.

Step 2 — Company-specific depth: Add Amazon-specific problems like Longest Substring Without Repeating Characters, Group Anagrams, Reorganize String and Snowflake-specific problems from the exclusive lists below.

Step 3 — Difficulty tuning: Snowflake skews harder in our data. Budget extra time for Hard problems if you are targeting that company.

Difficulty Comparison

Easy
Amazon
527
Snowflake
13
Medium
Amazon
1074
Snowflake
67
Hard
Amazon
367
Snowflake
20

Top Shared Topics

87 Shared Questions

High-priority problems to practice for both Amazon and Snowflake.

ProblemDifficulty
Two SumEasy
LRU CacheMedium
Trapping Rain WaterHard
Number of IslandsMedium
Best Time to Buy and Sell StockEasy
Add Two NumbersMedium
Container With Most WaterMedium
Course ScheduleMedium
Merge k Sorted ListsHard
Rotting OrangesMedium
Top K Frequent ElementsMedium
Copy List with Random PointerMedium
Merge Two Sorted ListsEasy
Course Schedule IIMedium
Word SearchMedium
Task SchedulerMedium
Meeting Rooms IIMedium
Find Median from Data StreamHard
Roman to IntegerEasy
Insert Delete GetRandom O(1)Medium
Jump Game IIMedium
Min StackMedium
Minimum Window SubstringHard
Single Element in a Sorted ArrayMedium
Regular Expression MatchingHard
Word Search IIHard
Basic CalculatorHard
Integer to English WordsHard
Maximum Profit in Job SchedulingHard
Basic Calculator IIMedium

Showing top 30 of 87 shared problems.

Unique to Amazon (1,881)

Problems in Amazon's list that do not appear at Snowflake.

ProblemDifficulty
Longest Substring Without Repeating CharactersMedium
Group AnagramsMedium
Reorganize StringMedium
3SumMedium
Longest Palindromic SubstringMedium
Merge IntervalsMedium
Median of Two Sorted ArraysHard
Koko Eating BananasMedium
Valid ParenthesesEasy
Longest Common PrefixEasy
Subarray Sum Equals KMedium
Merge Sorted ArrayEasy

Unique to Snowflake (13)

Problems in Snowflake's list that do not appear at Amazon.

ProblemDifficulty
Throne InheritanceMedium
Calculate Amount Paid in TaxesEasy
Maximum Number of Upgradable ServersMedium
String TransformationHard
Find the Maximum Length of a Good Subsequence IMedium
Minimum Array Length After Pair RemovalsMedium
Find the Maximum Length of a Good Subsequence IIHard
Minimum Absolute Difference Between Two ValuesEasy
Web Crawler MultithreadedMedium
Campus BikesMedium
Alert Using Same Key-Card Three or More Times in a One Hour PeriodMedium
Paint FenceMedium

Frequently Asked Questions

How many LeetCode questions do Amazon and Snowflake share?

Amazon and Snowflake share 87 LeetCode interview questions. 1881 problems appear only in Amazon's list and 13 appear only in Snowflake's list.

What topics overlap most between Amazon and Snowflake?

The most common shared topics between Amazon and Snowflake are Array (15 shared questions), Hash Table (8 shared questions), String (8 shared questions), Math (6 shared questions), Linked List (5 shared questions). Mastering these areas prepares you for both companies.

Which company asks harder LeetCode questions: Amazon or Snowflake?

Amazon has 527 Easy, 1074 Medium, and 367 Hard questions. Snowflake has 13 Easy, 67 Medium, and 20 Hard questions. Snowflake has a higher proportion of Hard problems in its interview set.

How should I prepare if interviewing at both Amazon and Snowflake?

Start with the 87 shared problems since they cover what both companies ask most often. Then add 20 Amazon-specific and 13 Snowflake-specific questions to round out your prep.

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