Live Data Engineer Mock Interview | Technical Round | Big Data, Spark, Airflow, Cloud.

I have prepared in Depth Data Engineering Interview Experiences for 100+ Companies.

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In this video, experience a full-length Data Engineer Mock Interview based on real-world scenarios and commonly asked questions.
Perfect for those preparing for Data Engineering interview, this video covers pyspark, airflow, big data, cloud skills expected in actual interviews.


𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗪𝗵𝗮𝘁𝘀𝗮𝗽𝗽 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗼𝗳 𝟯𝟬𝗞+ 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 -
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CHAPTERS:

00:00 Introduction to new interview series
01:03 Introduction of interviewer and interviewee
02:56 What are the day-to-day tasks?
04:06 What are the different file formats used?
04:42 What is the role of Driver and Executor in Apache Spark?
05:45 What is the difference between RDD, DataFrame, and Dataset?
07:00 What is a Schema in DataFrames?
08:05 How are stages created in PySpark?
12:27 What are transformations in Spark?
13:35 What are some optimization techniques used in Spark?
15:42 What is Delta Lake and why is it used?
16:50 Schema Evolution – Scenario-based question
18:42 Delta Lake – Scenario-based question
21:42 What is fault tolerance in HDFS?
22:49 What do you mean by high availability in distributed systems?
23:42 How can you run two tasks in parallel in Airflow?
25:47 How do you pass data between tasks in Airflow?
26:30 How do you debug failures in Airflow?
28:37 How do you implement exception handling in Spark?
29:57 Scenario-based question in Spark – Part 1
32:27 Scenario-based question in Spark – Part 2
36:12 Live Feedback


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