Microsoft SQL Interview: Dept-wise Top Earner in 60s ⏱️

Detailed Video : https://youtu.be/S6lEvUx-LIU

🚀 Master SQL Interview Questions for Data Engineering roles at Google, Amazon, Uber, Atlassian, and more!

In this #Shorts video, we solve the 'Department Highest Salary' problem using a clean and efficient SQL query with window functions.

This is one of the most frequently asked SQL problems in Big Tech interviews — often appearing in Microsoft, Meta, Amazon, and Bloomberg interview rounds.

👉 Learn how to use RANK(), DENSE_RANK(), and PARTITION BY to isolate top performers per department in real-world datasets.

🔍 Perfect for roles in:
• Data Engineering
• Analytics Engineering
• Business Intelligence
• Backend Systems using SQL at scale

🎥 Watch the full SQL Shorts Playlist here:
https://www.youtube.com/playlist?list=PLlIjgXjvFQh0NWrgxu_fDD48KiFM5OM2i

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Видео Microsoft SQL Interview: Dept-wise Top Earner in 60s ⏱️ канала Nishant Sethi