Tiger Analytics Senior Data Engineer Interview Questions | SDE Interview Experience | 25 LPA

Hi everyone, I am Sarthak and I am working as a Senior Data Engineer. In this video I have explained in detail about my interview experience in Tiger Analytics forSenior Data Engineer role
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[@SarthakDasgupta-bp8xi]

Hi everyone, if you are preparing for Data Engineer Interviews then do checkout the below playlist. In that I have covered important PySpark concepts and their coding questions kzbin.info/www/bejne/j4bRi36BltRmick

[@prajju8114]

these were easy questions I must say. not that tough especially pyspark and sql questions.

[@rakeshgupta-xb6qh]

very helpful video ...please create more content like this

[@RaviKumar-nz5or]

thanks for the video it was insightful....btw in screening round do they run our submitted code in background or do they primarily focus on syntax correctness, problem-solving approach, or both?

[@pavankalyan9232]

Thanks! Subscribed

[@sagarrajroul7802]

Hi brother, I have an interview with tiger analytics on Monday as a ML full stack engineer and they are giving me 14 base is it less for tiger analytics, as I have 2.5 years of experience although it is totally valid for my previous salary.

[@SarthakDasgupta-bp8xi]

I think for 2.5 yoe it's a good package that they are offering

[@saurabhmishra5303]

you are working as data engineer and full developer?

[@sagarrajroul7802]

@@saurabhmishra5303 I more of work as a ML and python backend developer

[@mohamedhussain1113]

Hi brother could share what type question asked in tiger analytics , bcoz I have interview, please respond

[@sagarrajroul7802]

@@mohamedhussain1113 my interview was more of whole software industry prospective. I have written a program in the backend api, git commands, SQL code. In frontend sides it was more of map filter redure, how javascript works and some angular questions. In ml side some basic questions like supervised vs unsupervised, knn, kmeans, xg boost. One system design question for my previous project and how I scale it. Apart from that some basic os and python, DBMS questions.

[@DEwithDhairy]

Follow my KZbin channel for the SQL Pyspark DSA in python Oops in python Pandas scenarios based interview questions and answers preparation: youtube.com/@dewithdhairy

[@explorewithaj4580]

Following. Very Useful Thanks.

[@Aman-lv2ee]

nice video bro...just one questions what salary hike did you asked for the first offer? thanks

[@SarthakDasgupta-bp8xi]

I go for 70% hike for first offer and post that 30-40% hike

[@Uda_dunga]

Inner join output will be - 4 kya ulta sidha padha rha h bhai? Kuch bhi mtlb

[@SarthakDasgupta-bp8xi]

No of rows 4 hai and output bhi show kia hai. 😄

[@adityajain3089]

How much experience do you have ? Like for exp range we can consider these type of questions

[@SarthakDasgupta-bp8xi]

4.5 YOE.

[@L-Surya]

Is not dsa asked

[@SarthakDasgupta-bp8xi]

Programming of string and list might be asked but not graphs or trees. Overall difficulty is easy

[@L-Surya]

@@SarthakDasgupta-bp8xi bro how is the market for data engineers.,will we get calls

[@rutujakhot3455]

what is df_raw?

[@SarthakDasgupta-bp8xi]

df_raw is the first dataframe you create by ready source data. Eg: df_raw = spark.table("raw.table1"). In interviews you can assume the source df name as anything df_raw, df_source, etc.

[@Uda_dunga]

Pagal h ye kuch bhi bata rha h questions note krlo ap aur Google ya chat gpt se dekh lo better rhega 😂