Write a query to find engagement score from transactions

Last updated: November 14, 2025

Quick Overview

Write a SQL query to calculate engagement score from the transactions table, considering nulls and duplicates.

Expedia
Data Manipulation (SQL/Python)
Data Scientist
Expedia
November 14, 2025
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Medium

1

15

1,051 solved


Write a SQL query to calculate engagement score from the transactions table, considering nulls and duplicates.

Expedia asks this during the Onsite because data engineering skills are critical for the role. You should be comfortable with complex joins, window functions, CTEs, and performance optimization.

What the Interviewer Expects
  • Use advanced SQL features: window functions, CTEs, subqueries
  • Write efficient queries that avoid common performance pitfalls
  • Handle complex data transformations with multiple joins and aggregations
  • Discuss indexing strategy and query optimization
  • Address data quality issues: duplicates, missing values, outliers
Key Topics to Cover
Index optimization and query performance
Common Table Expressions (CTEs)
Date/time manipulation
JOIN types and when to use each
Aggregate functions and GROUP BY
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?
  • What indexes would you create to support this query?
  • How would you optimize this query for a table with 100 million rows?
  • Can you rewrite this without using subqueries?
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