Big Data Mock Interview | Data Engineering Interview

Data Engineering Mock Interview

Join a Staff Data Engineer & Senior Data Engineer for a wonderful Data Engineering Mock Interview.

If you're preparing for a Data Engineering interview, this is the perfect opportunity to enhance your skills and increase your chances of success. The mock interview simulates a real-life scenario and provides valuable insights and guidance. It includes discussion on Apache Spark, #datalake , Data Lakehouse, #datawarehouse , #aws big data stack, #systemdesign and many more topics of Data Engineering.

You'll get to see how professionals tackle technical questions and problem-solving challenges in a structured and efficient manner.

By watching this mock interview, you'll learn effective strategies to approach technical questions and problem-solving scenarios, gain familiarity with the data engineering interview process and format, enhance your communication skills and ability to articulate your thoughts clearly, identify areas of improvement, receive expert feedback on your performance, boost your confidence, and reduce nervousness for future interviews.

This mock interview suits all levels of experience, whether you're a fresh graduate, a career changer, or a seasoned professional looking to improve your interview skills. Don't miss out on this invaluable learning experience! Subscribe to our channel and hit the notification bell to be notified when the mock interview is released. Stay tuned for a deep dive into the world of data engineering.

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🔅 To book a Mock interview - https://topmate.io/ankur_ranjan/15155

🔅 LinkedIn -   / thebigdatashow  

🔅 Instagram -   / ranjan_anku  

🔅 Ankur(Interviewer) 's LinkedIn profile -   / thebigdatashow  


🔅 LakshmiManaswitha Chimakurthi (Interviewee)'s LinkedIn profile -   / manaswithachimakurthi  

Chapters:

00:00 - Introduction
03:33 - What is Kinesis & its role?
05:00 - What is the difference between producer-consumer & publisher-subscriber?
06:54 - How is Kafka/Kinesis differentiating other streaming platforms?
07:54 - What is a partition in Kafka?
09:15 - Ordering messages in Kafka
11:01 - Priority Queue
12:21 - Implementation of Priority Queues in Python
13:16 - Difference between Process & Thread in operating system
14:08 - CAP Theorem
17:11 - SQL Question
22:32 - DSA Problem
25:14 - Difference between Pandas & Pyspark
26:41 - Scenario Based Question
31:41 - Difference between ETL & ELT
33:29 - Best-suited Real-world scenario for ELT
36:00 - Pyspark Optimization
39:21 - Optimization strategy for extract & load level
42:54 - Adaptive Query Execution (AQE) in Spark 3
43:50 - Interviewee feedback



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