I Took 100+ Data Engineering Interviews 😤 | Why Most Candidates Keep Getting Rejected (2026)

😤 After taking 100+ Data Engineering interviews, I realized one brutal truth… Most candidates are not getting rejected because they are “bad” — they are getting rejected because they prepare in the WRONG way. 🚀 Join DataX Bootcamp – Zero to Job Ready AI-Enabled Data Engineer 👉 https://login.datawithanurag.com/web/... 🎟️ Use Coupon Code: YT_FAM 📲 Bootcamp doubts? WhatsApp me directly: 👉 https://wa.me/918957284012 In this video, I reveal the real reasons candidates fail Data Engineering interviews — from freshers to experienced professionals. These are the exact mistakes I repeatedly see during LIVE interviews. 🎯 Why Candidates Keep Getting Rejected ❌ Strong certificates, weak practical skills ❌ Memorized SQL answers, zero problem-solving ❌ No understanding of data flow & ETL pipelines ❌ Can’t explain projects confidently ❌ Poor debugging & engineering thinking ❌ Random learning with no roadmap 🚀 What Companies ACTUALLY Want ✅ Production-level SQL thinking ✅ Python + PySpark practical understanding ✅ Real pipeline & cloud knowledge ✅ Debugging mindset ✅ Clear communication & ownership This is exactly the mindset we focus on inside DataX Bootcamp, where 400+ learners are preparing for real Data Engineering jobs with projects, mock interviews, and structured guidance. 💡 If you’re serious about cracking a high-paying Data Engineering role in 2026, watch this till the end. 🌐 More Free Roadmaps & Resources 👉 https://datawithanurag.com 📄 Resume Template (200% Hike Format) 👉 https://desimaster.in/unlocking-oppor... 🔗 Connect With Me 👉 https://linktr.ee/anurag2410