Senior Data Engineer Live Interview Experience | 3-9 Years | Spark, Python, SQL | Product-Based Q1

Join me as I share an in-depth look at a live interview experience for a Senior Data Engineer role in a product-based company! This video covers interview questions, solutions, and strategies for data engineers with 3-9 years of experience. I’ll walk through common interview topics like Spark, Python, and SQL, explaining the expectations for a senior role in a dynamic tech environment.

Whether you’re prepping for a career jump, looking to upskill, or curious about what to expect in a senior-level interview, this video will provide valuable insights. Tune in to learn more about handling technical challenges, showcasing your experience, and standing out in a competitive job market!

Senior Data Engineer interview experience
Data engineer interview for product-based company
Spark, Python, SQL interview for data engineer
Senior data engineer interview questions and answers
Data engineering interview experience for 3-9 years
Product-based company data engineer interview insights
Preparing for senior data engineering roles
How to crack data engineering interviews for experienced professionals
Real-life data engineer interview walkthrough
Python and SQL questions in data engineering interviews

[Kelzmeister]

This is not the answer. Check point is instrumental in detecting data that is ingested according to a threshold timestamp. Data coming for ingestion with timestamp before checkpoint timestamp is not entertained