🔍 Unlocking Data Engineering Insights: Top Interview Questions Revealed! 🔍

Are you gearing up for a data engineering interview or simply curious about the industry's key insights?

Dive into the world of data engineering as we unveil some of the top interview questions that showcase the depth and breadth of this dynamic field.

Whether you're a seasoned data engineer or aspiring to join this exciting domain, these questions will not only sharpen your knowledge but also provide valuable insights into the skills and expertise sought after in the industry.

Let's explore together and unravel the secrets of data engineering excellence!

  1. Optimization Technique in Spark.
  2. Difference Between Reduce and Reduce By Key.
  3. How can we achieve immutability in Scala?
  4. What is RDD in Spark.
  5. Difference Between RDD vs Dataframe vs Dataset.
  6. Describe How would You handle schema evaluation dynamically using in your spark job?
  7. Narrow and Wide Transformation.
  8. Consider your spark job is working fine in dev env but after deployment in production it is failing. Then what should you do.
  9. How do you perform incremental load in Spark?
  10. challenge you have faced in in your project and how did you over come?