Interview Experience at HashedIn by Deloitte

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hashedin by deloitte
SDE InternBengaluru Office
June 17, 20257 reads

Summary

I had an onsite interview experience for an SDE Intern role at HashedIn by Deloitte in Bengaluru, which included an online coding assessment, two technical interviews, and a fitment round, all completed in one day.

Full Experience

🔹 Onsite Interview Experience of SDE Intern – Bengaluru Office (All rounds in 1 day)

Round 1: Online Coding Assessment 3 DSA Questions:

String Basics – Solved completely

Dynamic Programming on Strings (Medium) – Solved completely

Dynamic Programming on Strings (Hard) – Applied a backtracking-based approach

✅ Cleared the round by solving the first two completely and providing a working approach for the third.

Round 2: Technical Interview 1 Quick Self-Introduction and Internship discussion (S&P Global)

DSA Questions:

Valid Parentheses

Reverse a Linked List – Extended to reversing in K-groups

System Design Discussion:

E-commerce Database Design

Handling multiple items in a single order (focused on Atomicity)

Supporting various payment methods: UPI, Credit Card, Cash

Round 3: Technical Interview 2 Quick Intro + Project Deep Dive

System Design: Netflix Database

Base design followed by enhancement questions:

How to retrieve paused but not completed movies

How to retrieve location-specific movies (region availability filtering)

Round 4: Fitment Round Self-introduction + Family Background

Behavioral Questions Focused on motivation, team fit, and future goals

Interview Questions (5)

Q1
Valid Parentheses
Data Structures & Algorithms

DSA Question: Valid Parentheses.

Q2
Reverse Linked List in K-Groups
Data Structures & Algorithms

DSA Question: Reverse a Linked List – Extended to reversing in K-groups.

Q3
E-commerce Database Design
System Design

System Design Discussion: E-commerce Database Design. Handling multiple items in a single order (focused on Atomicity). Supporting various payment methods: UPI, Credit Card, Cash.

Q4
Netflix Database Design
System Design

System Design: Netflix Database. Base design followed by enhancement questions: How to retrieve paused but not completed movies. How to retrieve location-specific movies (region availability filtering).

Q5
Behavioral Questions (Motivation, Team Fit, Future Goals)
Behavioral

Behavioral Questions focused on motivation, team fit, and future goals.

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