Data Engineering

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30 INTERVIEWS IN 30 DAYS- BIG DATA INTERVIEW SERIES
This mock interview series is launched as a community initiative under Data Engineers Club aimed at aiding the community's growth and development
Our highly experienced guest interviewer, Sreelakshmi Gosala, / sreelakshmi-gosala shares invaluable insights and practical advice coming from her extensive experience.
Our talented guest interviewee Sujoy Das, / sujoy-das-sde has an impressive knack to answering the interview questions in a very well eloquent manner.
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Discussed Questions : Timestamp
1:34 Introduction
3:21 What’s the cluster config you are working on ?
4:00 Have you worked with other data formats or sources?
4:40 What is the challenging part while working on the project ?
6:50 What is broadcast join ?
7:40 Quote one or two data transformations, and explain data cleaning briefly.
9:06 Explain the spark Architecture
10:38 What happens to driver and worker nodes when an action is executed?
12:51 Difference between DAG and lineage
13:55 What is an RDD ?
15:05 Narrow and wide transformations ?
16:16 What was your role in the project?
17:05 Pyspark Coding Question
22:42 SQL Coding Question
Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs

[@doyouwanttoknow3366]

Hi sir, please do an interview video on gcp data engineer

[@sumitmittal07]

Definitely, will be planning for it in the upcoming weeks

[@swapnam1528]

This is really good for beginners.

[@torchbearer6300]

this series is gold

[@sumitmittal07]

Glad to know that you are finding the series valuable!

[@sandhyasandy9072]

Sir please make the interviews more complex to know more questions as every time we are listening the same questions. Like salting technics, bucketing,unity catalog, auto loader,z order clustering in databricks. spark joins other than broadcast ,concepts of data skew,spilling,OOM issues etc.. Also we face so many questions related to data modelling like fact and dimension tables star and snowflake schema. Different file format questions and methods (explode,flatten)we use to load the data.

[@sumitmittal07]

hello Sandhya, this upcoming week we will conduct bar raiser rounds. you can expect higher difficulty level.

[@sandhyasandy9072]

@@sumitmittal07 Thank you Sir 🙏

[@nagarjunabodavula4840]

Please do an interview on snowflake as well

[@sumitmittal07]

sure, noted.

[@abhishekmodak8496]

This is a nice series, but missing followup questions from the interviewer.

[@sumitmittal07]

Its great that you are enjoying the series. I will definitely ensure that some follow-up questions will be covered by the interviewer in the upcoming videos.

[@Adi300594]

Thanks for sharing

[@sumitmittal07]

Keep watching. More such interviews planned for all the data enthusiasts.

[@zaffer2024]

Would the interview would be this easy?

[@ravichandra6025]

depends on interviewer and our luck

[@kaladharnaidusompalyam851]

Hello 👋 sir