Big Data Engineer Mock Interview | Big Data Project Pipeline | Managerial

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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, Hitesh, / hitesh1234 shares invaluable insights and practical guidance drawn from his extensive expertise in the Big Data Domain
Our expert guest interviewee, Hamida Bano / hamida-bano-793804208 has an interesting approach to answering the coding round interview questions on Big Data Project Pipeline.
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Discussed Questions with Timestamp
0:18 Introduction
2:06 Current Project responsibilities
4:38 Managing counts and reconciliation jobs
5:11 Types of transformations used
6:42 Workflow tools in Databricks
8:02 Handling incremental data loads and primary keys
9:13 Troubleshooting scenarios
12:21 Migrating data to Azure from on-premise databases
15:24 Lazy evaluation in Spark
17:02 Spark actions utilized
17:27 Scenario-based question: Debugging and optimizing slow job execution
20:03 Techniques for PySpark job optimization
21:04 Various joins in Spark SQL
21:28 Data pipeline design principles
23:29 Handling job failures
24:22 Notification mechanisms for pipelines
24:50 CAP theorem explanation
26:41 Scenario-based question: Designing architecture for capturing data from multiple sources and dashboard creation
Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs

[@venumadhavpendurthi-ij8ql]

She exudes confidence in everything she says, which is impressive.🎉

[@surajreddy9929]

She was great with her explanation to the questions asked by Hitesh. Good job by both of you guys.

[@user-gs8xh9ww9i]

like i had faced lots of similar questions and tried to answers but i noted lot of points in her explanation , very helpful
for me

[@prabhakarkumar8022]

Insightful

[@dipakchavan4659]

Superb. Please upload end-to-end project on azure data engineer.

[@surajreddy9929]

Yes it’ll be helpful. I see few videos on TH-cam, but it’ll be very brief and clear explanation from Sumit. So I hope you do it Sumit. It’ll appreciated.

[@sumitmittal07]

Very Soon! Will be the next series in pipeline

[@_VaidyaMrunalYogesh]

Please upload a Interview video for freshers GCP Data Engineer.
Thank you.

[@BUY_YOUTUB_VIEWS.80]

Positive vibes all the way! ✨