Uber
Ride-hailing and delivery platform with massive real-time data challenges.
4 Rounds
~21 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Engineer
•
System Design
•
hard
Design a real-time data pipeline to calculate surge pricing multipliers. The system needs to aggregate ride requests and available drivers per H3 hexagon (resolution 9) every 30 seconds.
#Stream Processing
#Kafka
#Flink
#Geospatial Data
#State Management
Data Engineer
•
System Design
•
hard
Design the data architecture and ETL pipelines to generate the daily payout reports for Uber Eats restaurants. Consider that restaurants can have different timezone cutoffs and complex, tiered commission structures.
#ETL/ELT
#Batch Processing
#Airflow
#Data Warehousing
Data Engineer
•
System Design
•
hard
Design a system to ingest and process telemetry data (GPS, speed, heading) from millions of active drivers in real-time to power the live map view and feed ETA machine learning models.
#High Throughput Ingestion
#Kafka
#Data Partitioning
#NoSQL
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.