Zomato Kafka Interview Questions 2026

Published July 22, 2026 · Updated July 22, 2026

5 real Kafka interview questions asked at Zomato. Upvoted by engineers who cleared the loop. Covers System Design, Technical rounds.

5 questions
155 engineers asked
224 upvotes
Company: Zomato
Technology: Kafka

All Kafka Questions Asked at Zomato

Zomato Hard System Design round KafkaRedisAWS

Design Zomato's surge pricing engine. When demand spikes (rain, IPL final), delivery fees increase automatically. Cover: demand signals, pricing formula, fairness constraints, A/B testing pricing strategies, and how to avoid customer backlash.

↑ 49 upvotes · 47 engineers asked this · SDE2
Zomato Hard System Design round KafkaRedisDistributed Systems

Design Zomato's delivery time prediction system. Before placing an order, show "Delivers in 35 minutes". The estimate must account for restaurant preparation time, distance, traffic, and number of parallel orders the partner is handling.

↑ 62 upvotes · 40 engineers asked this · SDE2
Zomato Hard System Design round KafkaPostgreSQLRedis

Design Zomato Pro (subscription). Members get free delivery, discounts, and priority support. Cover: subscription lifecycle, prorated upgrades/downgrades, cohort-based analytics to measure retention, and how you handle payment failures.

↑ 50 upvotes · 31 engineers asked this · SDE2
Zomato Hard Technical round KafkaElasticsearchPostgreSQL

Explain Zomato's restaurant onboarding data pipeline. A new restaurant submits menus, photos, and operating hours. How do you validate, normalise, and make this data searchable within minutes of submission?

↑ 44 upvotes · 27 engineers asked this · SDE2
Zomato Medium Technical round 2-5 yearsKafka

Explain the difference between at-most-once, at-least-once, and exactly-once delivery semantics in Kafka. Which one requires the consumer to handle duplicate processing?

↑ 19 upvotes · 10 engineers asked this · SDE2

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Frequently asked questions

Design Zomato's surge pricing engine.
Design Zomato's surge pricing engine. When demand spikes (rain, IPL final), delivery fees increase automatically. Cover: demand signals, pricing formula, fairness constraints, A/B testing pricing strategies, and how to avoid customer backlash.
Design Zomato's delivery time prediction system. Before placing an order, show "Delivers in 35 minutes". The estimate must account for restaurant preparation time, distance, traffic, and number of parallel orders the partner is handling.
Design Zomato's delivery time prediction system. Before placing an order, show "Delivers in 35 minutes". The estimate must account for restaurant preparation time, distance, traffic, and number of parallel orders the partner is handling.
Design Zomato Pro (subscription). Members get free delivery, discounts, and priority support. Cover: subscription lifecycle, prorated upgrades/downgrades, cohort-based analytics to measure retention, and how you handle payment failures.
Design Zomato Pro (subscription). Members get free delivery, discounts, and priority support. Cover: subscription lifecycle, prorated upgrades/downgrades, cohort-based analytics to measure retention, and how you handle payment failures.
Explain Zomato's restaurant onboarding data pipeline. A new restaurant submits menus, photos, and operating hours. How do you validate, normalise, and make this data searchable within minutes of submission?
Explain Zomato's restaurant onboarding data pipeline. A new restaurant submits menus, photos, and operating hours. How do you validate, normalise, and make this data searchable within minutes of submission?
Explain the difference between at-most-once, at-least-once, and exactly-once delivery semantics in Kafka. Which one requires the consumer to handle duplicate processing?
Explain the difference between at-most-once, at-least-once, and exactly-once delivery semantics in Kafka. Which one requires the consumer to handle duplicate processing?