India Product
Swiggy Interview Process & Prep Guide (2026)
By Durgesh Yadav — Senior Data Engineer @ 7-Eleven · Updated July 2026
The Swiggy interview process
Online assessment -> technical rounds (coding/SQL/case) -> hiring manager -> HR
The actual Swiggy interview loop
Structured product-company loop: DSA problem-solving rounds, a design round (LLD for SDE-1/2, HLD for senior), and a strong hiring-manager round, with questions frequently anchored in real food-delivery and Instamart logistics problems.
1. Problem Solving Screen
~45 min · MediumOne or two medium DSA problems in a shared editor, judged on working code and complexity analysis.
arrays · hashmaps · two pointers · complexity analysis
2. Problem Solving / DSA Round 2
~55 min · HardHarder algorithmic round covering trees, graphs, or DP, often with a follow-up that adds a real-world constraint.
graphs · dynamic programming · trees · greedy
3. Design Round (LLD/HLD)
~60 min · HardLLD machine-coding of a module (e.g. a splitwise-style ledger or rate limiter) for SDE-1/2, or HLD of a delivery-scale system for SDE-3 and above.
object-oriented design · API design · distributed systems · caching · data modeling
4. Data / Analytics Round
~50 min · MediumSQL on order and delivery datasets plus a metrics case such as diagnosing a drop in Instamart conversion or designing an experiment.
SQL · product metrics · A/B testing · funnel analysis
5. Hiring Manager Round
~50 min · MediumDeep project walkthrough plus situational behavioral questions on ownership, customer focus, and handling conflicting priorities.
project deep dive · ownership · customer focus · stakeholder conflict
6. HR Round
~30 min · EasyOffer discussion covering compensation structure, ESOPs, notice period, and team allocation.
compensation · ESOPs · notice period
Scenario questions Swiggy actually asks
Practice framing answers to the kinds of company-specific scenarios interviewers use — these come from Swiggy's real products and systems:
- →How would you handle order-batching for delivery partners during the dinner surge?
- →How would you handle ETA prediction that accounts for restaurant prep time and rain?
- →How would you handle dark-store inventory placement and replenishment for Instamart's 10-minute promise?
- →How would you handle delivery partner assignment balancing earnings fairness against delivery speed?
- →How would you handle a search and ranking system for dishes versus restaurants in the Swiggy app?
- →How would you handle surge handling on IPL final night when order volume triples?
The Swiggy tech stack to prep
Real interview questions asked at Swiggy
Sampled from our verified question bank for Swiggy — every role links to its full set.
Analytics Engineer
All 100 questions →- Q.For Instamart, should randomization happen at customer, session, device, restaurant, or city level? Explain the tradeoffs
- Q.The Genie experiment lifts order conversion rate overall, but only for new users and only in one meal_slot. How would you evaluate heterogeneous treatment effects?
Business Analyst
All 100 questions →- Q.During a Genie experiment, the treatment/control split is 52/48 instead of 50/50. How would you diagnose sample ratio mismatch?
- Q.A new Delivery Partner App feature shows a large week-1 lift in order conversion rate, but the effect fades by week 4. What could explain this and how would you design the test duration?
Data Analyst
All 100 questions →- Q.Choose primary and guardrail metrics for a Swiggy One experiment aimed at improving order conversion rate. What metrics would prevent a harmful launch?
- Q.The Restaurant Ads experiment is trending positive after two days. A PM wants to stop early and launch. How do you handle peeking and sequential testing?
Salary snapshot: data & tech roles at Swiggy
| Role | Entry (LPA) | Senior (LPA) |
|---|---|---|
| Analytics Engineer | ₹9L | ₹40L |
| Business Analyst | ₹7L | ₹26L |
| Data Analyst | ₹6L | ₹22L |
Role-level India ranges from our salary benchmarks — directional bands, not Swiggy-verified offers.
What Swiggy screens for
Culture & values at Swiggy
How to prepare for Swiggy
Prepare coding/SQL and analytical cases; show product/data sense; quantify impact
Roles Swiggy hires
Data Analyst, Data Scientist, Data Engineer, Product Analyst, Software Engineer, Product Manager
Frequently asked questions
What is the interview process at Swiggy?
The Swiggy interview process typically runs: Online assessment -> technical rounds (coding/SQL/case) -> hiring manager -> HR. Prepare for each round in order rather than only the first — the later stages usually carry the most weight.
How hard is the Swiggy interview?
Swiggy interviews are rated medium difficulty. The bar is highest on coding/sql — go deep there and practise explaining your reasoning out loud.
What does Swiggy look for in candidates?
Swiggy focuses on Coding/SQL, analytical case-solving, product/data sense. Culturally, it values Consumer first, ownership, agility, frugality. Line up your examples to hit both the technical bar and these values.
How do I prepare for a Swiggy interview?
Prepare coding/SQL and analytical cases; show product/data sense; quantify impact. Use PrepNPlaced's Target Brief for a Swiggy-specific plan, Resume Lab to pass their ATS, and Live Mock to rehearse the exact rounds.
What roles does Swiggy hire for?
Swiggy commonly hires Data Analyst, Data Scientist, Data Engineer, Product Analyst, Software Engineer, Product Manager. Match your resume and preparation to the specific role family you are targeting for the sharpest results.
Preparing for Swiggy?
PrepNPlaced builds your company game plan, an ATS-ready resume, and real interview practice for this exact process.
Build my Swiggy game plan →