Data Engineering Interview

Описание: 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(Organiser) 's LinkedIn profile -   / thebigdatashow  


🔅 Manoj(Interviewer) 's LinkedIn profile -
  / manoj-t-dataengineer  

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

Chapters -

00:00 - Introduction
04:18 - Journey from Software Engineering to Data Engineering
08:35 - DSA Question
19:36 - SQL Question
26:36 - Why do we need a Data Warehouse?
29:31 - Schema used for the data modeling
29:58 - How do you get your requirements and how do you like to model your data warehouse?
33:36 - Connection between the dashboard and the Source
35:02 - How do you handle data quality issues?
39:33 - What are all the measures one should take to make the data more compliant with government regulations?
41:23 - How do you implement the data masking?
42:00 - Interviewee Feedback



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