Quick Overview

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.

Solve SQL and PySpark Data Tasks

Company: Point72

Role: Data Engineer

Category: Coding & Algorithms

Difficulty: easy

Interview Round: Online Assessment

Overview: 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.

Read the full Point72 Data Engineer interview experience this question came from

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