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This question evaluates proficiency in SQL query design and PySpark DataFrame manipulation, covering aggregation, filtering, joins, time and numeric formatting, duplicate handling, and Spark session setup.

  • easy
  • Point72
  • Coding & Algorithms
  • Data Engineer

Solve SQL and PySpark Data Tasks

Company: Point72

Role: Data Engineer

Category: Coding & Algorithms

Difficulty: easy

Interview Round: Take-home Project

Quick Answer: This question evaluates proficiency in SQL query design and PySpark DataFrame manipulation, covering aggregation, filtering, joins, time and numeric formatting, duplicate handling, and Spark session setup.

Last updated: May 30, 2026
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