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

𝐓𝐨 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐬 𝐚 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐂𝐡𝐞𝐜𝐤 trendytech.in/?src=youtube&su... for curated courses developed by me.
I have trained over 20,000+ professionals in the field of Data Engineering in the last 5 years.
𝐖𝐚𝐧𝐭 𝐭𝐨 𝐌𝐚𝐬𝐭𝐞𝐫 𝐒𝐐𝐋? 𝐋𝐞𝐚𝐫𝐧 𝐒𝐐𝐋 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐰𝐚𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐬𝐨𝐮𝐠𝐡𝐭 𝐚𝐟𝐭𝐞𝐫 𝐜𝐨𝐮𝐫𝐬𝐞 - 𝐒𝐐𝐋 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦!
"𝐀 8 𝐰𝐞𝐞𝐤 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐜𝐫𝐚𝐜𝐤 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐨𝐟 𝐭𝐨𝐩 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐛𝐚𝐬𝐞𝐝 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐛𝐲 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠 𝐚 𝐭𝐡𝐨𝐮𝐠𝐡𝐭 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐚𝐧𝐝 𝐚𝐧 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞 𝐚𝐧 𝐮𝐧𝐬𝐞𝐞𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦."
𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 -
𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐈𝐧𝐝𝐢𝐚) : rzp.io/l/SQLINR
𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐨𝐮𝐭𝐬𝐢𝐝𝐞 𝐈𝐧𝐝𝐢𝐚) : rzp.io/l/SQLUSD
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.
Link of Free SQL & Python series developed by me are given below -
SQL Playlist - • SQL tutorial for every...
Python Playlist - • Complete Python By Sum...
Don't miss out - Subscribe to the channel for more such informative interviews and unlock the secrets to success in this thriving field!
Social Media Links :
LinkedIn - / bigdatabysumit
Twitter - / bigdatasumit
Instagram - / bigdatabysumit
Student Testimonials - trendytech.in/#testimonials
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.🎉

[@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

[@surajreddy9929]

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

[@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 KZbin, 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! ✨