Swiggy Data Engineer Interview Guide: Questions & Process
Introduction
Swiggy’s data engineer interview runs 3 to 4 rounds from first contact to offer, with most candidates reporting a decision within two to three weeks. The process tests SQL proficiency alongside Python or DSA coding, reflecting the role’s position at the intersection of food delivery platform data pipelines and analytical infrastructure. Candidate reports consistently show a hiring manager or bar-raiser round as the final gate, conducted separately from technical rounds rather than combined into a single loop.
Interview Topics
The Swiggy Data Engineer Interview Process
Recruiter Screen
A recruiter call opens the process, covering years of experience, notice period, and motivation for joining Swiggy. This call lasts roughly 15 to 20 minutes and functions as a logistical filter before any technical evaluation begins. Candidates reached out to via LinkedIn report the same structure as those who apply directly.
Based on candidate reports
Online Assessment
Candidates complete a HackerRank assessment before any live interview round. The assessment includes SQL queries covering window functions, GROUP BY, and HAVING, along with one or two DSA problems at easy-to-medium difficulty. One candidate described it as “two easy-level LeetCode questions and 3 SQL questions, rank, HAVING, and GROUP BY.”
Based on candidate reports
Technical Round 1: SQL and DSA
The first live technical round runs approximately 60 minutes and focuses on SQL proficiency alongside coding problems. Interviewers test window functions, aggregation logic, and query optimization, then shift to one or two algorithmic problems solved and explained in real time. The interviewer actively guides candidates through problem-solving rather than evaluating in silence.
Based on candidate reports
Technical Round 2: Big Data and Engineering Depth
This round tests hands-on knowledge of big data infrastructure, with Hadoop and Spark coming up repeatedly in candidate reports. Interviewers probe how candidates have built or maintained data pipelines at scale, with questions tied to Swiggy’s high-volume order and delivery data. A verified report from a Swiggy data role describes this as an explicit “Engineering round covering Big Data, Hadoop, Spark.”
Based on candidate reports
Bar-Raiser Round
A bar-raiser round appears at the end of the Swiggy interview track for technical roles, confirmed across candidate reports. It is conducted by someone outside the immediate hiring team. One candidate described it as examining “project depth, architecture judgement, and behavioural probes” as a standalone elimination gate.
Based on candidate reports
Hiring Manager Round
The final conversation is with the hiring manager and focuses on behavioral fit, past project impact, and alignment with the team’s direction. Candidates report this round is conversational rather than technical, covering why they are leaving their current company and what they expect from Swiggy. Compensation and notice period discussions typically happen with the recruiter after this round concludes, not within it.
Based on candidate reports
Challenge
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Featured Interview Question at Swiggy
Swiggy Data Engineer Interview Questions
| Question | Topic | Difficulty |
|---|---|---|
Data Structures & Algorithms | Easy | |
Given two strings Example: Input: | ||
SQL | Medium | |
SQL | Easy | |
459+ more questions with detailed answer frameworks inside the guide
Sign up to view all Interview QuestionsSQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard |
Discussion & Interview Experiences