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Meesho Software Development Engineer 2 Interview Experience

Software Development Engineer 2

Meesho
October 29, 2026
15 Questions
Selected

Summary

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The interview process at Meesho consisted of five rounds, including an online assessment focused on SQL and data structures, followed by coding problems and questions on big data concepts. Candidates faced a mix of technical coding questions, system design scenarios, and techno-managerial discussions. Overall, the difficulty level was medium, providing a challenging yet fair assessment of skills.

1

Online Assessment

#1

Trapping Rain Water

Solve the array problem of Trapping Rain Water.
Array
Algorithms
Medium
#2

Zigzag Order Traversal of a Binary Tree

Implement the Zigzag Order Traversal of a Binary Tree.
Algorithms
Binary Tree
Medium
#3

Average Sessions per User

Write an SQL query to find the average number of sessions per user over a specified period.
SQL
Medium
2

SQL, DSA & Big Data

#1

Consecutive Numbers in SQL

Write an SQL query to find numbers appearing at least three times consecutively.
SQL
Big Data
Medium
#2

Stock Span Problem

Solve the Stock Span Problem using a stack.
Algorithms
Stack
Medium
#3

Data Skew Handling

How do you handle data skew using salting and broadcast joins?
Big Data
Medium
#4

Spark Transformations vs Actions

Explain the difference between Spark transformations and actions.
Big Data
Spark
Medium
#5

Parquet and Delta Lake Discussion

Discuss Parquet, Delta Lake, and Spark executors.
Big Data
Spark
Medium
3

System Design & ETL

#1

E-commerce Platform Architecture

Design the architecture of an e-commerce platform.
Architecture
System Design
Hard
#2

Streaming Pipeline

Build a streaming pipeline using Kafka, Spark, and Delta Lake.
Stream Processing
Big Data
Hard
#3

Clean Events with Null User ID

How would you clean events with a null "user_id" before writing the output?
Big Data
Data Cleaning
Medium
4

Techno-Managerial

#1

Previous Projects Discussion

Deep dive into your previous projects.
Experience
Medium
#2

Data Lakehouse vs Data Warehouse

Compare Data Lakehouse and Data Warehouse.
Big Data
Data Management
Medium
#3

SCD Concepts and ETL Design

Discuss Slowly Changing Dimensions (SCD) concepts, data governance, and ETL design.
ETL
Data Governance
Medium
#4

Team Management and Production SLAs

Discuss your approach to team management and production SLAs.
Management
Medium
Data StructuresAlgorithmsSystem DesignSQLBig Data
A

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