Swiggy Placement Papers 2025

Overview

This page is a working set of Swiggy placement papers from 2025: from student reports questions, the 2025 online assessment pattern, and step-by-step solutions. Use it to see what Swiggy actually asked in the latest cycle, how hard the rounds were, and which themes (DSA, system design, aptitude, or role-specific topics) mattered most. Practice the problems below under timed conditions, then cross-check with the interview and preparation guides if you are targeting an upcoming Swiggy drive.

2025 Updates

The 2025 Swiggy placement process maintains focus on DSA and system design with enhanced emphasis on company values. The online assessment includes 2-3 coding problems and debugging questions. Practice these Swiggy placement papers 2025 to prepare effectively.

Swiggy Online Assessment 2025 pattern

Section	Questions	Time	Difficulty	Focus Areas
Coding Problems	2-3	60-80 min	Medium-Hard	Arrays, trees, graphs, DP
Debugging	1-2	20-30 min	Medium	Code fixes, logic errors

Total: 3-5 problems, 90-120 minutes
Platform: HackerRank or Swiggy’s internal platform
Languages Allowed: Java, C++, Python, Go
Success Rate: ~10-15% cleared OA and advanced to interviews

Swiggy Placement Papers 2025 - actual questions & solutions

This section contains practice questions styled on Swiggy placement papers 2025 (recent-cycle pattern), with worked solutions. Use them as timed sectional drills - from student reports drives vary by college and role, so treat this as a high-signal practice bank, not an official paper dump.

Question 1: longest common prefix

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Problem Statement: Find the longest common prefix string amongst an array of strings.

Example:

Input: ["flower","flow","flight"]
Output: "fl"

Solution (Java):

public String longestCommonPrefix(String[] strs) {
    if (strs.length == 0) return "";
    String pref = strs[0];
    for (int i = 1; i < strs.length; i++) {
        while (!strs[i].startsWith(pref)) {
            pref = pref.substring(0, pref.length() - 1);
            if (pref.isEmpty()) return "";
        }
    }
    return pref;
}

Time Complexity: O(S)
Space Complexity: O(1)

Question 2: climbing stairs

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Problem Statement: You can climb 1 or 2 steps. How many distinct ways to climb n stairs?

Example:

Input: n = 4
Output: 5

Solution (Java):

public int climbStairs(int n) {
    if (n <= 2) return n;
    int a = 1, b = 2;
    for (int i = 3; i <= n; i++) {
        int c = a + b; a = b; b = c;
    }
    return b;
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 3: binary tree level order

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Problem Statement: Return the level-order traversal of a binary tree.

Example:

Input: [3,9,20,null,null,15,7]
Output: [[3],[9,20],[15,7]]

Solution (Java):

public List<List<Integer>> levelOrder(TreeNode root) {
    List<List<Integer>> res = new ArrayList<>();
    if (root == null) return res;
    Queue<TreeNode> q = new ArrayDeque<>();
    q.add(root);
    while (!q.isEmpty()) {
        int sz = q.size();
        List<Integer> level = new ArrayList<>();
        for (int i = 0; i < sz; i++) {
            TreeNode n = q.poll();
            level.add(n.val);
            if (n.left != null) q.add(n.left);
            if (n.right != null) q.add(n.right);
        }
        res.add(level);
    }
    return res;
}

Time Complexity: O(n)
Space Complexity: O(n)

Question 4: merge two sorted lists

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Problem Statement: Merge two sorted linked lists and return a new sorted list.

Example:

Input: 1→2→4 , 1→3→4
Output: 1→1→2→3→4→4

Solution (Java):

public ListNode mergeTwoLists(ListNode a, ListNode b) {
    ListNode dummy = new ListNode(0), cur = dummy;
    while (a != null && b != null) {
        if (a.val <= b.val) { cur.next = a; a = a.next; }
        else { cur.next = b; b = b.next; }
        cur = cur.next;
    }
    cur.next = (a != null) ? a : b;
    return dummy.next;
}

Time Complexity: O(n + m)
Space Complexity: O(1)

Question 5: two sum

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Problem Statement: Given an array of integers and a target, return indices of two numbers that add up to target.

Example:

Input: nums = [2, 7, 11, 15], target = 9
Output: [0, 1]

Solution (Java):

public int[] twoSum(int[] nums, int target) {
    Map<Integer, Integer> map = new HashMap<>();
    for (int i = 0; i < nums.length; i++) {
        int need = target - nums[i];
        if (map.containsKey(need)) return new int[]{map.get(need), i};
        map.put(nums[i], i);
    }
    return new int[]{};
}

Time Complexity: O(n)
Space Complexity: O(n)

Question 6: maximum subarray sum

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Problem Statement: Find the contiguous subarray with the largest sum.

Example:

Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4]
Output: 6  // [4, -1, 2, 1]

Solution (Java):

public int maxSubArray(int[] nums) {
    int best = nums[0], cur = nums[0];
    for (int i = 1; i < nums.length; i++) {
        cur = Math.max(nums[i], cur + nums[i]);
        best = Math.max(best, cur);
    }
    return best;
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 7: rotate array right by k

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Problem Statement: Rotate the array to the right by k steps.

Example:

Input: [1,2,3,4,5,6,7], k = 3
Output: [5,6,7,1,2,3,4]

Solution (Java):

public void rotate(int[] nums, int k) {
    k %= nums.length;
    reverse(nums, 0, nums.length - 1);
    reverse(nums, 0, k - 1);
    reverse(nums, k, nums.length - 1);
}
void reverse(int[] a, int l, int r) {
    while (l < r) { int t = a[l]; a[l++] = a[r]; a[r--] = t; }
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 8

Q8: Which normal form removes transitive dependency?

Solution:

1NF: atomic values. 2NF: no partial dependency. 3NF: no transitive dependency.

Answer: 3NF

Question 9

Q9: Which data structure uses FIFO order?

Solution:

FIFO = First In First Out → Queue. Stack is LIFO.

Answer: Queue

Question 10

Q10: Time complexity of binary search on a sorted array of n elements is?

Solution:

Each step halves the search space → O(log n).

Answer: O(log n)

Question 11

Q11: In OOP, hiding internal details and showing only essential features is called?

Solution:

This is the definition of Encapsulation (often paired with abstraction in interviews).

Answer: Encapsulation

2025 hiring trends

Expected hiring

• Total Hires: 180+ freshers
• SDE-1: 162+ selections
• SDE-2: 18+ selections
• Locations: Bengaluru, Hyderabad, hybrid/remote

Salary packages

• SDE-1: ₹16-22 LPA
• SDE-2: ₹24-30 LPA
• Senior SDE: ₹40-55 LPA

Question trends

• Medium: 50% of questions
• Hard: 50% of questions
• Focus: Optimal solutions required

Key insights from 2025 Swiggy Online Assessment

1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
2. Advanced Topics: More focus on DP, Graphs, and Design problems
3. Optimization: Emphasis on optimal solutions (time/space complexity)
4. System Design: More detailed for SDE-1 roles - food delivery systems
5. Food Delivery Context: Questions often relate to Swiggy’s food delivery domain
6. Company Values: Strong focus on behavioral assessment
7. Time Management: 2-3 problems in 90-120 minutes requires excellent speed
8. Debugging: Always included - practice debugging skills thoroughly
9. Success Rate: Only 10-15% cleared OA and advanced to interviews

Swiggy 2025 interview experiences

Based on recent candidate experiences from 2025 Swiggy interviews:

2025 Interview Process:

1. Online Assessment (90-120 minutes): 2-3 coding problems + 1-2 debugging questions
2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions
3. Onsite Interviews (4-5 rounds, 45-60 minutes each):

• Coding rounds (2-3): Algorithms, data structures, problem-solving
• System Design round: Food delivery systems for SDE-1+ roles
• Behavioral round: Problem-solving approach, teamwork, impact

2025 Interview Trends:

• Increased emphasis on food delivery system design even for SDE-1 roles
• More focus on optimal solutions with better complexity analysis
• Enhanced behavioral questions about company values and impact
• Questions about logistics optimization and real-time systems

Common 2025 Interview Topics:

• Coding: Arrays, strings, trees, graphs, dynamic programming
• System Design: Food delivery systems (order matching, delivery partner allocation, real-time tracking)
• Debugging: Code fixes, logic errors, performance issues
• Behavioral: Problem-solving examples, teamwork, impact on business metrics
• Food Delivery Knowledge: Order matching algorithms, logistics optimization, real-time systems

2025 Interview Questions Examples:

• Minimum Window Substring
• Design Swiggy’s order matching system (System Design)
• Design Swiggy’s delivery partner allocation system (System Design)
• Real-time tracking system design

Success Tips:

• Strong coding performance is essential - solve problems optimally
• Learn food delivery system design - order matching, logistics, real-time tracking
• Prepare examples demonstrating problem-solving and business impact
• Practice explaining your thought process clearly
• Focus on time management - 2-3 problems in 90-120 minutes
• Understand logistics and matching algorithms in detail

For detailed interview experiences from 2025, visit Swiggy Interview Experience page.

Preparation tips for Swiggy 2025 pattern

1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
2. Practice Previous Year Papers: Solve Swiggy OA papers from 2020-2025 to understand evolving patterns
3. Time Management: Practice completing 2-3 coding problems in 60-80 minutes, debugging in 20-30 minutes
4. System Design Mastery: Learn food delivery system design - order matching, logistics for SDE-1+
5. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
6. Food Delivery Focus: Practice problems related to food delivery scenarios
7. Mock Tests: Take timed practice tests to improve speed and accuracy
8. Graph Algorithms: Master graph algorithms - matching, routing, optimization
9. Dynamic Programming: Practice DP problems - frequently asked
10. Logistics Knowledge: Understand logistics and matching algorithms for food delivery in detail
11. Optimization Focus: Emphasize optimal solutions with better time/space complexity

Related resources

Swiggy 2024 papers→

Previous year Swiggy placement papers with DSA questions and solutions

Swiggy coding questions→

Complete collection of Swiggy coding problems with solutions

Swiggy interview experience→

Real interview experiences from candidates who cleared Swiggy placement

Swiggy preparation guide→

Comprehensive preparation strategy for Swiggy placement process

Swiggy main page→

Complete Swiggy placement guide with eligibility, process, and salary

Zomato Placement Papers→

Similar food delivery company with comparable interview process

Similar companies

Zomato · Paytm · Flipkart · Phonepe · Meesho · Blinkit

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