
Uber
Data Engineer

Practice for Data Engineer
Uber
Initial Screening
A recruiter-led discussion to understand the candidate's background, motivations, and basic qualifications for the Data Engineer role at Uber. This round also assesses communication skills and alignment with Uber's values.
Tell me about your experience with building data pipelines. What tools and technologies have you used?
Why are you interested in working as a Data Engineer at Uber?
Describe a challenging data engineering project you worked on and how you overcame the challenges.
All interviews are private and won't be shared with the recruiters.
Technical Deep Dive: Coding & SQL
A technical assessment focusing on coding skills in Python and proficiency in SQL. This round evaluates the candidate's ability to solve data-related problems, write efficient queries, and understand data structures and algorithms.
Write a Python function to find all unique combinations that sum up to a target value N in a given list of integers.
Given two tables, 'rides' and 'ratings', write an SQL query to determine each driver's average rating for each city.
How can you resolve an SQL query's duplicate data points?
All interviews are private and won't be shared with the recruiters.
System Design & Data Modeling
Focuses on the candidate's ability to design scalable, fault-tolerant systems and model data effectively. This round assesses understanding of data pipelines, data warehousing, and database design principles.
Design a data pipeline for processing ride requests in real-time. Consider scalability, fault tolerance, and data accuracy.
Design a database schema for storing Uber rides and driver locations. Optimize for geospatial queries and data retrieval.
What are the most important tables when it comes to Uber's ride-sharing service? How would these tables relate to each other? What columns would you index on? What bottlenecks might occur that affect QPS (queries-per-second)?
All interviews are private and won't be shared with the recruiters.
Uber Culture & Values Deep Dive
A behavioral interview to assess the candidate's alignment with Uber's core values and their ability to thrive in Uber's fast-paced and collaborative environment. This round explores past experiences and how the candidate has demonstrated key competencies.
Tell me about a time you had to make a quick decision under pressure. What was the situation, what did you do, and what was the outcome?
Describe a situation where you had to influence stakeholders without direct authority. How did you approach it, and what was the result?
Uber values 'Trip Obsession'. Tell me about a time you went above and beyond to ensure a positive outcome for a user or customer.
All interviews are private and won't be shared with the recruiters.