60-Day SQL for Data Engineer

Hey, future data engineers! I am Adarsh Yadav, a data engineer who has been through the interview grind and wants to help you land your dream job. Welcome to my 60-day SQL challenge, where we will tackle real SQL interview questions from top companies like Meta, Google, and Amazon, Infosys, Tiger analysis etc. SQL is critical for data engineers, making up 40–50% of interview questions. Each day, I will share a question from actual interviews or my own experience, with clear solutions, Databricks tricks, and tips to shine in data engineer interviews.

Why SQL for Data Engineer Interviews?

Data engineers rely on SQL to query huge datasets, build pipelines, and solve tough problems. This challenge covers must-know topics like joins, aggregations, window functions, and subqueries—everything you need to ace a data engineer interview. You should have basic understanding of SQL. Plus, I will share how to optimize queries in Databricks using tools like Delta Lake, giving you a real-world edge.

What You’ll Get in This Data Engineer Challenge

  • One SQL interview question daily from top tech companies.
  • Step-by-step solutions with code and explanations.
  • Databricks tips for big data (think Delta Lake and caching).
  • A free PDF of all 60 questions schema—sign up below!
  • Schemas and datasets to practice in any database (online or offline).

Join the 60-Day Data Engineer Journey

Starting May 25, 2025, I’ll post a new question every day. Check the blog daily for the latest question, starting with Day 1’s Meta challenge. Run the query in your preferred database. I’ll provide schemas and data to make it easy. Practice it, check my solution, and share your approach in the comments.

Need a database setup guide? Comment, and I’ll hook you up with a tutorial.

Finish this challenge, and you’ll be ready to crush any SQL interview.

Why Learn SQL for Data Engineer with Adarsh Yadav?

I have been in your shoes, grinding through data engineer interviews and learning what it takes to succeed. My experience with SQL and Databricks, including techniques like `MERGE INTO` for data updates or query caching, gives me a unique perspective. I’m not just teaching SQL—I’m sharing the strategies that helped me land data engineering job roles. Plus, I am committed to making this fun and accessible, with clear explanations and a supportive community.

Daily SQL Questions

Get the Free PDF
Want all 60 questions in one place? Enter your email to get the PDF at the end of the challenge and stay in the loop.

Follow me on LinkedIn for daily updates. Let’s get you that data engineer job!

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