Big Data Mock Interview | Data Engineering Interview
ฝัง
- เผยแพร่เมื่อ 21 ก.ค. 2024
- 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.
Subscribe now and be the first to watch the Data Engineering Mock Interview.
🔅 To book a Mock interview - 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
#dataengineering #interview #interviewquestions #bigdata #mockinterview #aws
Please mention the experience of the interviewee either in caption or in thumbnail. It would be helpful
Excellence ground work ..hats off congrats..could you please make more mock video
Thank you for your kind words. Please check our Data Engineering Mock Interview playlist. It has more than 22 videos.
@@TheBigDataShow
Hi, is this possible now to get data engineer or analyst job as fresher in this scenario?
Or should I try anything else like web dev or app dev?
Tech me job milega ea,
should I start preparing for other exam like CAT and all?
Great stuff to watch during the interview/job hunt season of market. Polishing my basics 😅
Thank you for your kind words
This video was a hard interview I felt. On the Kafka / Kinesis end. I feel to learn more on this topic.
Thanks for the video.
Thank you for your kind words. Our goal is to replicate the Data Engineering Interview at product-based companies. Solving hard things and then getting into good company is a wonderful feeling. Keep learning and keep growing.
Great!
Hi, is this possible now to get data engineer or analyst job as fresher in this scenario?
Or should I try anything else like web dev or app dev?
Tech me job milega ea,
should I start preparing for other exam like CAT and all?
Excellent talk, although a few of the answers-such as the distinction between a process and a thread-were really poor. I believe a more appropriate response should have been given if the person had prior Microsoft experience and currently working as Staff. I think she never worked as Data Engineer she might be trying to switch.
Hi @jhonsen9842 Giving an interview in the public domain required lots of courage and determination. There is no one who can actually answer every answer correctly, even though questions might be very easy. When you are working as a developer and keep writing the code then it's very much accepted that you will forget some of the fundamental questions from Operating System, Networking and many other things. It's not one question which determines the result of the interview. She has tried answering it and it shows a lot of courage. If I go for some public platform and try answering questions then I also might not answer it. There is no one in this world who can qualify or answer every question of the interview. Some questions might look silly for one but might not be easy for others. This applies vice-versa too.
Passing a comment on someone is easy but giving an actual interview
& that too in the public domain is hard.
Better to stick to the positive things.