How to Prepare for Grab Interview 2026 — Complete Guide
Step-by-step preparation guide for Grab interviews. Covers what to study, how long to prepare, top resources, and 10 real questions reported by engineers who cleared the Grab process.
Step 1 — Understand what Grab actually tests
Based on 10 questions reported by engineers, Grab focuses on: Data Engineering / Airflow, System Design / Ride Matching, DSA / Arrays, Airflow / Scheduling, SQL / Analytics, Behavioral, Microservices / Communication, Redis / Geospatial, API Testing, System Design / Surge Pricing.
Step 2 — Study the right topics in order
- Data Engineering / Airflow — 1 questions. Start here — highest weight in technical rounds.
- System Design / Ride Matching — 1 questions. Second priority after the first topic.
- DSA / Arrays — 1 questions. Cover once the first two topics are solid.
- Airflow / Scheduling — 1 questions. Cover once the first two topics are solid.
- SQL / Analytics — 1 questions. Cover once the first two topics are solid.
- Behavioral — 1 questions. Cover once the first two topics are solid.
- Microservices / Communication — 1 questions. Cover once the first two topics are solid.
- Redis / Geospatial — 1 questions. Cover once the first two topics are solid.
- API Testing — 1 questions. Cover once the first two topics are solid.
- System Design / Surge Pricing — 1 questions. Cover once the first two topics are solid.
Step 3 — Practice with real questions
These are the most upvoted questions engineers report being asked at Grab:
You need to run a DAG that processes 10,000 files daily — one task per file. How do you design this in Airflow without creating 10,000 static tasks?
Design the driver-passenger matching system for a ride-hailing app operating across Southeast Asia, where network connectivity is inconsistent in parts of the region. How does that constraint change your design versus a similar system in a market with reliable connectivity?
Given an array of ride fare amounts collected over a day, find the maximum sum of any contiguous subarray of exactly k rides (a sliding window problem). Walk through the O(n) approach.
Write a query to find, for each city, the percentage of rides that were cancelled within 2 minutes of being booked, given a Rides table with city, booked_at, and cancelled_at.
Design a dynamic (surge) pricing system that adjusts fares in near real-time based on local supply and demand, without causing prices to flicker wildly for a rider mid-booking.
Step 4 — Analyse the job description
Paste the exact Grab JD into Stepkai's AI tool. It will extract the competencies being tested, score your current readiness, and generate a personalised day-by-day plan targeting your specific gaps — not a generic checklist.
Step 5 — Mock interview
Practice answering Grab questions with AI grading. Get instant feedback on depth, correctness, and communication before the real thing.
Start practising →