How Much DSA Do You Need To Crack Data Engineering Interviews?

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Are you grinding LeetCode Hard or tougher Mediums for a Data Engineering job and feeling stuck? You’re not alone — and in most cases, it’s the wrong strategy.

In this video, I break down exactly how much DSA (Data Structures & Algorithms) a Data Engineer really needs to crack interviews — especially for big tech / product-based companies

You’ll learn:
- The real DSA bar for Data Engineering (and how it differs from Software Engineering)
- What’s non-negotiable vs nice-to-have vs total overkill
- A practical DSA roadmap for Data Engineers (easy–medium focused)
- Which roles need SWE-level DSA (Data Platform / SWE-Data / Infra roles)
- The patterns that show up most in DE coding screens

Chapters:
00:00 Stop Grinding LeetCode Hard & Tougher Mediums for Data Engineering
01:21 Why DE Candidates Fail (SWE-coder vs SQL-only)
02:48 SWE vs DE: Where DSA Actually Matters
06:36 Clearing Myth: DE Needs SWE Level LeetCode
08:18 DSA Roadmap For Data Engineering
11:21 Reality Check + What to Focus On

Connect w/ me:
LinkedIn: https://www.linkedin.com/in/afaque-ahmad-5a5847129/
YouTube Channel: https://www.youtube.com/@afaqueahmad7117

Playlists:
Interview Preparation: https://www.youtube.com/playlist?list=PLWAuYt0wgRcKtqUhfVbtPjULMdYq5drs8
Spark Performance Tuning: https://www.youtube.com/playlist?list=PLWAuYt0wgRcLCtWzUxNg4BjnYlCZNEVth

Data Engineering Roadmap: https://youtu.be/f09GwYWPfEU
How I Mastered Data Modeling: https://youtu.be/IUK0PmQDrqM
Cracking Interviews @ Apple, Uber, Atlassian, Databricks: https://youtu.be/pWwEVIa4A5o

Github: https://github.com/afaqueahmad7117
Spark Performance Tuning Codes: https://github.com/afaqueahmad7117/spark-experiments

#dsa #dataengineering #dataenginnerjobs #dsafordataengineering