Cracking the Meta Data Engineering Interview: Exclusive Breakdown

If you’re serious about landing a Data Engineering role at Meta, this is where the real prep begins. Unlike the free guide, this article dives deep into the exact number of questions, how to approach.

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This is just a preview of the in-depth technical preparation required to crack the Meta Data Engineering Interview.

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🚀 Gain exclusive insights into Meta’s hiring process, SQL & Python interview questions, hands-on exercises, and advanced ETL & Data Modeling

📌 The Technical Interview Breakdown

1️⃣ SQL & Python Coding Round

✅ Duration: 60 minutes
✅ Structure: 4 SQL questions + 4 Python questions

🔹 What to Expect

• The SQL questions will focus on:

  • Writing complex queries (JOINs, aggregations, filtering, ranking)

  • Handling NULL values & edge cases

  • Optimizing performance (query execution & indexing)

  • Set operations (UNION, UNION ALL, etc.)

• The Python questions will test:

  • Data manipulation with lists, dictionaries, and sets

  • Optimizing algorithm performance

  • ETL-related coding challenges

🔹 How to Approach This Round

🚀 Speed + accuracy = success!