Accenture Data Engineer Interview Question Solved | PySpark Date Conversion & GroupBy Explained 🔥

Описание: 🚀 In this video, I break down a real Accenture Data Engineer interview question using PySpark in Databricks.

We’ll walk through a practical problem involving date conversion, month-year extraction, and multi-column aggregation — all step-by-step!

What you’ll learn:
🔹 How to convert string columns to Date type using to_date()
🔹 How to extract Month and Year from a Date using date_format()
🔹 How to apply groupBy() on multiple columns efficiently
🔹 Clean, production-ready PySpark coding practices

This video is perfect for:
✅ Data Engineer interview preparation
✅ PySpark hands-on practice in Databricks
✅ Learning practical transformations used in real-world data pipelines

🎯 Whether you’re working on ETL, Big Data, or Azure Data Engineering, this tutorial will boost your PySpark confidence!

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🔖 Hashtags:
#Accenture #PySpark #DataEngineer #Databricks #ApacheSpark #BigData #AzureDataEngineer #ETL #DataEngineering #InterviewPreparation #SparkTutorial #DateFormat #to_date #Python #Analytics #DataTransformation