Join impressions and products to find engagement score

Last updated: February 19, 2026

Quick Overview

Write a query joining impressions and events to produce the combined engagement score.

Uber
Data Manipulation (SQL/Python)
Data Scientist
Uber
February 19, 2026
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Easy

96

6

1,188 solved


Write a query joining impressions and events to produce the combined engagement score.

This question from Uber's Onsite tests practical data skills. The interviewer wants to see clean, efficient queries that handle edge cases like NULLs, duplicates, and large datasets.

What the Interviewer Expects
  • Write syntactically correct SQL with proper JOIN and WHERE clauses
  • Use GROUP BY and aggregate functions appropriately
  • Handle NULL values correctly in your queries
  • Explain the query execution plan at a high level
Key Topics to Cover
Subqueries and correlated subqueries
Common Table Expressions (CTEs)
Data cleaning and transformation
JOIN types and when to use each
Aggregate functions and GROUP BY
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
How to Approach This
  1. Clarify the schema and expected output format before writing queries.
  2. Use CTEs (WITH clauses) to break complex queries into readable steps.
  3. Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
  4. Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
  5. For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
  • What would you do if this query needs to run every 5 minutes?
  • How would you handle slowly changing dimensions in this scenario?
  • How would you validate the correctness of your query results?
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Practice SQL Problems
Sample Answer
Problem Understanding

The data involved in this problem consists of two main tables: impressions and events. The impressions table contains records of user impressions for various products, including fields like `imp...

Approach
  1. Identify Join Conditions: We need to join the impressions and events tables on both product_id and user_id to ensure we capture the correct interactions for each user-product combinatio...

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