Globant Data Engineering Interview: Mastering withColumn() & Parsing Functions in PySpark

Are you preparing for a Globant Data Engineering interview? One of the key topics often tested is handling data transformations using withColumn() and parsing functions in PySpark. In this video, we break down a real interview-style question and show you how to solve it efficiently.

What you’ll learn:
✅ How to use withColumn() to modify and create new columns in PySpark.
✅ Understanding parsing functions for data manipulation and transformation.
✅ Step-by-step solution to a common Globant interview question.
✅ Best practices for handling structured data and improving performance.

If you're aspiring for a Data Engineer, Data Analyst, or Big Data role at Globant, mastering these functions will give you an edge in technical interviews.

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Видео Globant Data Engineering Interview: Mastering withColumn() & Parsing Functions in PySpark канала Shilpa DataInsights