Skip to content

Dunzo Placement Papers 2025 - Previous Year Questions PDF Download, Coding & System Design Guide

Download free Dunzo placement papers 2025 PDF with previous year questions and solutions. Access exam pattern, eligibility criteria, interview process, and complete preparation guide.

Dunzo is a hyperlocal delivery platform enabling users to get anything delivered from local stores. Founded in 2015, Dunzo operates in multiple cities across India and provides on-demand delivery services. The company has a strong engineering team working on logistics, mapping, and delivery optimization.

Headquarters: Bengaluru, India
Employees: 1,000+ globally

Industry: Logistics, Hyperlocal Delivery
Valuation: $800+ Million USD

Download free Dunzo placement papers 2025 with previous year questions, detailed solutions, exam pattern, and complete preparation guide. Access Dunzo last 5 years placement papers with solutions PDF download and practice with solved questions covering all sections.

Dunzo Eligibility Criteria for Freshers 2025-2026

Section titled “Dunzo Eligibility Criteria for Freshers 2025-2026”

Academic Requirements

Marks: 70% or 7.0+ CGPA in 10th, 12th, and graduation

Degree: B.Tech/B.E./M.Tech in Computer Science, IT, or related fields

Year of Study: Final year students and recent graduates (within 2 years)

Backlogs: No active backlogs at the time of application

Branch Eligibility

Eligible Branches: Computer Science, Information Technology, Electronics, Electrical, and related engineering branches

Programming Focus: Strong proficiency in Python, Java, or JavaScript

Experience: Freshers and candidates with 0-2 years experience

Additional Criteria

Programming Skills: Strong fundamentals in data structures and algorithms

Gap Years: Maximum 2 years gap allowed with valid reason

Course Type: Full-time regular courses only

Nationality: Indian citizens and eligible international students

Software Engineer Role

Primary Role: Software Engineer (Technology)

Salary Package: ₹12-18 LPA for freshers

Selection: Through Dunzo placement process (5 rounds)

Focus: Data structures, algorithms, system design for logistics

Dunzo Placement Papers - Download Previous Year Questions PDF

Section titled “Dunzo Placement Papers - Download Previous Year Questions PDF”

Access free Dunzo placement papers PDF and Dunzo previous year question paper with detailed solutions. Download Dunzo last year question paper and Dunzo question paper PDF from previous years with comprehensive question banks covering coding problems, system design, and technical concepts.

Dunzo Last 3 Years Placement Papers with Solutions PDF Download

Section titled “Dunzo Last 3 Years Placement Papers with Solutions PDF Download”

2024 Placement Papers PDF

Download Dunzo placement papers 2024 PDF with previous year coding questions, system design problems, solutions, and exam pattern analysis.


Download 2024 Papers PDF →

2025 Placement Papers PDF

Download latest Dunzo placement papers 2025 PDF with current year coding questions, system design scenarios, solutions, and updated exam patterns.


Download 2025 Papers PDF →

2026 Preparation Guide

Prepare for Dunzo placement 2026 with expected exam pattern, coding questions, system design problems, and comprehensive preparation strategy.


Start Preparing →

What's Included

Complete Dunzo placement papers (2024-2026) with coding questions, system design problems, detailed solutions, answer keys, exam pattern analysis, and topic-wise organization.

Campus Recruitment

Method: Through college placement cells

Timeline: August-September for final year students

Off-Campus Application

Method: Direct application through Dunzo careers portal

Timeline: Year-round opportunities available

Referral Program

Method: Employee referrals

Timeline: Continuous referral program

Detailed Dunzo Online Assessment Exam Pattern 2025

Section titled “Detailed Dunzo Online Assessment Exam Pattern 2025”

The Dunzo placement process focuses on strong problem-solving skills, system design capabilities, and technical depth. Understanding the detailed exam pattern is crucial for effective preparation.

  1. Online Assessment (OA) - 90 minutes

    Total Duration: 90 minutes Total Questions: 2-3 coding problems Format: Online coding platform Negative Marking: No Platform: HackerRank or similar

    Section-wise Breakdown:

    SectionQuestionsTimeDifficultyFocus Areas
    Coding Problems2-390 minMedium-HardArrays, Strings, DP, Graphs

    Section Details:

    • Coding Problems: Medium to hard problems covering arrays, strings, dynamic programming, graphs, and optimization. Problems often relate to logistics, route optimization, or algorithmic challenges relevant to delivery systems.

    Important Notes:

    • Focus on optimization and efficiency
    • Problems may have logistics/delivery context
    • Time management is crucial
    • Partial solutions may be considered

    Success Rate: ~30-40% of candidates clear this round

  2. Technical Interview Round 1 - 45 minutes

    Format: Virtual/Onsite Total Problems: 1-2 coding problems Language: Python, Java, JavaScript Time: 45 minutes

    Problem Types:

    • Data structures and algorithms
    • Optimization problems
    • Real-world problem solving

    Passing Criteria: Correct solution with optimal approach

    Evaluation:

    • Problem-solving approach
    • Code quality and optimization
    • Communication and explanation

    Success Rate: ~50% of OA candidates advance

  3. Technical Interview Round 2 - 45 minutes

    Format: Virtual/Onsite Focus Areas: System design, technical deep dive Time: 45 minutes

    Topics Covered:

    • System design for logistics systems
    • Delivery optimization algorithms
    • Real-time tracking systems
    • Scalability and performance
    • Previous projects discussion

    Evaluation:

    • System design skills
    • Technical depth
    • Project understanding
    • Problem-solving approach

    Success Rate: ~60% of Round 1 candidates advance

  4. Managerial Round - 45 minutes

    Format: Virtual/Onsite Focus Areas: Behavioral and technical discussion Time: 45 minutes

    Topics Covered:

    • Problem-solving approach
    • Impact and achievements
    • Technical challenges faced
    • Leadership and teamwork
    • Project discussions

    Evaluation:

    • Behavioral fit
    • Technical communication
    • Problem-solving mindset
    • Cultural fit

    Success Rate: ~70% of Round 2 candidates advance

  5. HR Interview - 30 minutes

    Format: Virtual/Onsite

    • Personal Background: Education, experience, career goals
    • Company Fit: Why Dunzo, interest in logistics tech
    • Career Goals: Long-term aspirations, role expectations
    • Communication: Clarity, professionalism

    Success Rate: ~80% of Managerial Round candidates get offers

PhaseDurationKey Activities
Application & Screening1 weekResume screening, initial review
Online Assessment1 weekCoding test, evaluation
Technical Interviews1-2 weeksRound 1 and Round 2 technical interviews
Managerial & HR Rounds3-5 daysFinal interviews, discussions
Result Declaration3-5 daysOffer letter, negotiation, onboarding

Practice with real Dunzo placement paper questions from previous years. These questions cover coding problems, system design scenarios, and technical concepts.

Q1: Route Optimization Problem: Given a list of delivery locations with coordinates and time windows, find the optimal route that minimizes total distance while respecting time constraints.

Solution:

def optimize_route(locations, time_windows):
# Use dynamic programming with memoization
# Consider time windows as constraints
# Minimize total distance
pass

Explanation: This problem requires understanding of graph algorithms, dynamic programming, and constraint satisfaction. Consider time windows, distance optimization, and delivery priorities.

Answer: Implement using DP with state (current_location, visited_set, current_time)

Q2: Find Maximum Deliveries in Time Window Problem: Given N delivery requests with start and end times, find the maximum number of deliveries that can be completed by a single delivery partner.

Solution:

def max_deliveries(requests):
# Sort by end time
# Greedy approach: select earliest ending requests
sorted_requests = sorted(requests, key=lambda x: x[1])
count = 0
last_end = 0
for start, end in sorted_requests:
if start >= last_end:
count += 1
last_end = end
return count

Explanation: This is a classic interval scheduling problem. Sort by end time and use greedy selection.

Answer: Greedy algorithm with O(n log n) time complexity

Q3: Real-time Delivery Tracking Problem: Design a system to track real-time location of delivery partners and update estimated delivery times.

Solution: Use a combination of data structures:

  • Hash map for O(1) partner lookup
  • Priority queue for nearest deliveries
  • Geospatial indexing for location queries

Explanation: Requires understanding of real-time systems, data structures, and geospatial algorithms.

Answer: Hash map + Priority queue + Geospatial index

Q4: Design a Delivery Assignment System Problem: Design a system that assigns delivery orders to available delivery partners based on proximity, capacity, and ratings.

Solution:

  • Use geospatial indexing (R-tree) for proximity search
  • Maintain partner availability in real-time
  • Implement matching algorithm considering distance, capacity, ratings
  • Use message queue for async processing

Explanation: System design problem requiring understanding of distributed systems, real-time processing, and matching algorithms.

Answer: Geospatial index + Real-time matching + Message queue

Interview Experiences - Real Candidate Stories

Section titled “Interview Experiences - Real Candidate Stories”

Learn from real Dunzo placement interview experiences shared by candidates who successfully cleared the placement process.

Software Engineer Interview Experience

Candidate Profile: B.Tech CS from Tier-1 college, 8.5 CGPA, 1 internship in logistics tech

Round 1 - Online Assessment (90 minutes)
  • Questions: 2 coding problems
  • Problem 1: Route optimization with time constraints (Medium-Hard)
  • Problem 2: Maximum deliveries in time window (Medium)
  • Approach: Solved both problems with optimal solutions
  • Result: Cleared OA
  • Tip: Practice logistics-related problems, focus on optimization
Round 2 - Technical Interview 1 (45 minutes)
  • Interviewer: Senior Software Engineer
  • Questions Asked:
    • “Design an algorithm to find optimal delivery routes”
    • “How would you handle real-time location updates?”
    • “Explain your approach to the OA problem”
  • My Approach:
    • Discussed graph algorithms and dynamic programming
    • Explained real-time system design considerations
    • Walked through OA solution with optimizations
  • Key Tips:
    • Think aloud, explain your thought process
    • Consider edge cases and scalability
  • Result: Advanced to next round
Round 3 - Technical Interview 2 (45 minutes)
  • Focus: System design for delivery optimization
  • Question: “Design a system to optimize delivery routes for multiple partners”
  • Discussion: Covered scalability, real-time updates, geospatial algorithms
  • Result: Advanced to managerial round
Round 4 - Managerial Round (45 minutes)
  • Questions: Behavioral questions about problem-solving, impact, teamwork
  • Technical Discussion: Deep dive into projects, challenges faced
  • Result: Advanced to HR round
Round 5 - HR Interview (30 minutes)
  • Discussion: Career goals, why Dunzo, role expectations
  • Result: Received offer

Key Takeaways: Strong problem-solving skills, clear communication, and understanding of logistics systems helped. Practice system design for logistics domain.

Backend Engineer Interview Experience

Candidate Profile: M.Tech CS, 8.0 CGPA, 2 years experience in e-commerce

Technical Interview 2 - System Design (45 minutes)
  • Question: “Design a real-time delivery tracking system”
  • Approach:
    • Discussed architecture: API gateway, microservices, message queue
    • Real-time updates using WebSockets
    • Database design for location tracking
    • Caching strategy for performance
  • Result: Strong performance, advanced to next round
  • Tip: Focus on scalability, real-time requirements, and performance optimization

Key Takeaways: System design skills and understanding of real-time systems are crucial. Practice designing logistics and delivery systems.

Data Structures & Algorithms

Arrays & Strings: Manipulation, searching, sorting

HashMaps: Lookup optimization, frequency counting

Trees: Binary trees, BST, tree traversals

Graphs: BFS, DFS, shortest path, minimum spanning tree

Dynamic Programming: Optimization problems, memoization

System Design

Logistics Systems: Route optimization, delivery assignment

Real-time Systems: Location tracking, ETA updates

Scalability: Load balancing, caching, database design

Distributed Systems: Microservices, message queues

Performance: Optimization, latency reduction

Programming & Technologies

Languages: Python, Java, JavaScript

Databases: SQL, NoSQL, data modeling

APIs: REST, GraphQL, WebSockets

Cloud: AWS, GCP, containerization

Tools: Git, Docker, CI/CD

Prepare for Dunzo placement HR interview with common questions and effective strategies. Dunzo HR interview focuses on cultural fit, problem-solving mindset, and alignment with company values.

Common HR Interview Topics:

  • Why Dunzo? Interest in logistics technology
  • Problem-solving approach and examples
  • Handling pressure and tight deadlines
  • Teamwork and collaboration experiences
  • Career goals and growth aspirations
  • Questions about role and team

Complete HR Interview Guide

Access complete guide to Dunzo HR interview questions including:

  • Personal background questions with sample answers
  • Company-specific questions
  • Technical interest questions
  • Career and growth questions
  • Preparation tips and strategies

View Complete HR Interview Guide →

Preparation Strategy for Dunzo Placement Papers - Overview

Section titled “Preparation Strategy for Dunzo Placement Papers - Overview”

Key Preparation Principles:

  • Data Structures & Algorithms: 40% time allocation - Focus on arrays, trees, graphs, dynamic programming, optimization algorithms
  • Coding Practice: 30% - Solve medium to hard problems on LeetCode, HackerRank, practice logistics-related problems
  • System Design: 20% - Logistics systems, route optimization, real-time tracking, scalability
  • Technical Interview Prep: 7% - Core CS subjects, projects discussion, communication skills
  • Behavioral Prep: 3% - Problem-solving examples, teamwork, impact stories

Preparation Approaches:

  • Intensive 2-Month Plan: For candidates with strong DSA background, focus on system design and logistics domain
  • Extended 3-Month Plan: Comprehensive coverage of all topics with gradual progression
  • Practice with Placement Papers: Use Dunzo placement papers for realistic practice

Complete Preparation Guide

Access comprehensive Dunzo placement paper preparation guide including:

  • Intensive 2-month preparation roadmap
  • Strategic round-by-round preparation
  • Extended 3-month study plan
  • Time allocation strategies
  • Practice recommendations

View Complete Preparation Guide →

LevelExperienceBase SalaryTotal PackageTypical Background
Software Engineer0-1 years₹10-14 LPA₹12-18 LPAFreshers, Tier-1/2 colleges
Senior Software Engineer1-2 years₹16-20 LPA₹20-25 LPA1-2 years experience
Tech Lead2-3 years₹24-28 LPA₹28-35 LPA2-3 years, strong system design
  • Health Insurance: Comprehensive health coverage for employee and family
  • Stock Options: ESOPs based on performance and tenure
  • Flexible Work: Hybrid work model, flexible hours
  • Learning & Development: Budget for courses, conferences, certifications
  • Food & Transport: Meal vouchers, transport allowance
  • Wellness Programs: Gym memberships, wellness initiatives

Hiring Trends 2025

Increased Hiring: Dunzo is expanding engineering teams across backend, frontend, and mobile

Focus Areas: Real-time systems, route optimization, logistics technology

New Roles: ML engineers for route optimization, data engineers for analytics

Process Changes

Enhanced System Design: More emphasis on system design in technical interviews

Real-time Focus: Increased focus on real-time system design and optimization

Domain Knowledge: Preference for candidates with logistics/e-commerce experience

New Initiatives

AI/ML Integration: Using AI for route optimization and demand prediction

Technology Upgrades: Modernizing tech stack, microservices architecture

Expansion: Expanding to more cities, scaling delivery operations

Company Growth

Market Position: Leading hyperlocal delivery platform in India

Technology Innovation: Investing in logistics technology and optimization

Team Expansion: Growing engineering teams, hiring across levels

Frequently Asked Questions (FAQ) - Dunzo Placement

Section titled “Frequently Asked Questions (FAQ) - Dunzo Placement”
What are Dunzo placement papers?

Dunzo placement papers are previous year question papers from Dunzo recruitment tests and interview rounds. These papers help students understand the exam pattern and prepare effectively.

Are Dunzo placement papers free to download?

Yes, all Dunzo placement papers on our website are completely free to access and download. You can practice unlimited questions without any registration or payment.

How recent are the Dunzo placement papers available?

We provide Dunzo placement papers from recent years including 2024 and 2025. Our collection is regularly updated with the latest questions and exam patterns.

What is the Dunzo placement process?

Dunzo placement process typically includes online assessment, technical interview, and HR interview rounds. See the placement process section for complete details.

How many rounds are there in Dunzo interview?

Dunzo interview process typically consists of 2-3 rounds: online test, technical interview, and HR interview. Some roles may have additional rounds.

What is Dunzo eligibility criteria for freshers?

Dunzo eligibility criteria for freshers include minimum percentage requirements, degree requirements, and other criteria. Check the eligibility section for detailed information.

What is the minimum CGPA required for Dunzo?

The minimum CGPA required varies by role. Check the eligibility criteria section for specific requirements.

How to prepare for Dunzo placement?

To prepare for Dunzo placement: 1. Data Structures & Algorithms (40% time) - Focus on arrays, trees, graphs, dynamic programming, optimization algorithms, 2. Coding Practice (30%) - Solve medium to hard problems on LeetCode, HackerRank, practice logistics-related problems, 3. System Design (20%) - Logistics systems, route optimization, real-time tracking, scalability, 4. Technical Interview Prep (7%) - Core CS subjects, projects discussion, communication skills, 5. Behavioral Prep (3%) - Problem-solving examples, teamwork, impact stories. Focus on strong problem-solving skills and system design for logistics.

What topics should I focus on for Dunzo?

Focus on: Data structures (arrays, hash maps, trees, graphs), Algorithms (dynamic programming, greedy, graph algorithms), System design (logistics systems, route optimization, real-time systems), Programming (Python, Java, JavaScript), and Logistics domain knowledge. See the preparation strategy section for detailed topic breakdown.

How long should I prepare for Dunzo placement?

For candidates with strong DSA background: 2 months intensive preparation focusing on system design and logistics domain. For comprehensive coverage: 3 months extended plan covering all topics. Practice with Dunzo placement papers regularly and focus on time management.

What is Dunzo salary for freshers?

Dunzo salary for freshers (2025): Software Engineer: ₹12-18 LPA for new graduates, Senior Software Engineer: ₹20-25 LPA (1-2 years experience), Tech Lead: ₹28-35 LPA (2-3 years). All figures are total annual compensation including base salary, bonuses, and benefits. Salaries may vary based on location (Bangalore, Mumbai) and role.

What roles are available at Dunzo for freshers?

Dunzo offers Software Engineer roles for freshers in backend, frontend, and mobile development. Roles focus on building logistics technology, delivery optimization systems, and real-time tracking platforms. Growth opportunities include Senior Software Engineer, Tech Lead, and Engineering Manager positions.

Why should I join Dunzo?

Dunzo offers: Opportunity to work on cutting-edge logistics technology, Real-world impact on delivery operations, Fast-paced startup environment with growth opportunities, Strong engineering culture, Competitive compensation and benefits, Learning opportunities in logistics and optimization, Modern tech stack and best practices. Dunzo is a leading hyperlocal delivery platform with strong technology focus.

What is Dunzo’s work culture like?

Dunzo has a fast-paced, innovative work culture focused on solving real-world delivery challenges. The engineering team emphasizes problem-solving, system design, and technical excellence. The culture is collaborative, with opportunities for learning and growth in logistics technology.

Dunzo vs Swiggy vs Zomato - Which is better?

Dunzo: Hyperlocal delivery platform, strong focus on logistics technology, ₹12-18 LPA for freshers, smaller team, fast-paced startup environment. Best for candidates interested in logistics optimization and real-time systems.

Swiggy: Food delivery platform, large scale operations, ₹15-22 LPA for freshers, established company, diverse technology challenges. Best for candidates interested in food tech and large-scale systems.

Zomato: Food delivery and restaurant tech, ₹14-20 LPA for freshers, public company, strong brand. Best for candidates interested in food tech and consumer-facing products.

Choose Dunzo if you’re interested in logistics optimization and real-time systems. Choose Swiggy/Zomato if you prefer food tech and larger scale operations.

Explore related Dunzo placement paper topics and preparation guides:

Dunzo Interview Experience

Real interview experiences from successful candidates

Read Experiences →


Ready to start your Dunzo preparation? Practice with our placement papers and focus on strong fundamentals in data structures, algorithms, and system design for logistics systems.

Pro Tip: Dunzo values problem-solving skills and system design capabilities. Practice logistics-related problems and design systems for delivery optimization to stand out in interviews.

Last updated: November 2025