Question 1

What SQL topics does Uber focus on?

Accepted Answer

Uber SQL interviews lean hard on marketplace metrics (supply, demand, utilization), two-sided retention (drivers AND riders), time-window aggregations (hour-of-day, day-of-week patterns), and surge/pricing analysis. Expect datasets with trips, driver shifts, city dimensions, and timestamps everywhere.

Question 2

How hard are Uber SQL interviews?

Accepted Answer

Uber SQL interviews are moderately hard with a marketplace twist. The SQL itself is solid intermediate/advanced — CTEs, window functions, correlated subqueries. What makes them tough is the business reasoning: you need to propose the right metric, defend it, and handle the two-sided dynamics of a marketplace.

Question 3

How many SQL rounds does Uber have?

Accepted Answer

Uber data interviews typically include 1-2 dedicated SQL rounds. Data Scientist loops often pair SQL with experimentation and metrics design. Data Analyst loops pair SQL with a take-home or case study. Analytics Engineer loops add pipeline/ETL thinking on top.

Question 4

What SQL dialect does Uber use?

Accepted Answer

Uber uses Presto and Hive extensively, with some Spark SQL. Interviews accept standard ANSI SQL. Being comfortable with DATE_TRUNC, window functions, and handling large time-series aggregations covers 90% of what gets asked.

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