Walmart Data Engineer Interview Experience | Interview Questions | How to prepare | 30+ LPA

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Hi everyone, I am Sarthak. In this video I have covered in detail my Walmart Global Tech Data Engineer Interview experience. I have covered each round that took place starting from shortlisting till final round.

I have discussed every question with answer and also given tips on which topics to prepare.

Watch till end so that you don't miss out on any useful information.

Please give a like and share with your friends if you find this video useful.

#walmartinterviewquestions #softwareengineer #dataengineering
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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

SarthakDasgupta-bpxi
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You explain well but please don't put music in background its distributing if possible please make video without background music

fashionate
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def flat(l):
for i in l:
if type(i)==list:
flat(i)

else:
re.append(i)

saibaba-rr
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Thanks for sharing and please continue making such videos along with complete roadmap and resources you followed.
Just one correction in decorators : first add will get executed ==> value will become 7 and then main will be executed value will become 7-2=5.
You can validate this by this code ;
def fun1(fu):
def inner(n):
print("inner")
return fu(n+2)
return inner


@fun1
def fun(n):
print("main")
return n-2

print(fun(5))

jjayeshpawar
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Reminder for myself to look at this video

GAURAVSHEKHAWAT
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Thanks for sharing such a detailed video. Very useful for formualting a study plan.

neeleshchoudhary
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7:42 bro output will be - b Danny
9:32 it dense rank should be used, not row number

shubhambhandari
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Coding Ques 2 will fail in one case where target value is 10 and in the list two times 5 are there. Remain in X and remain not is used will fail.

ShivamSrivastava-en
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I watched ur videos.its very helpful. Do they ask on any cloud like azure or aws or any other data structures like stack queues or trees

suvrajitdeb
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Convert the list into a string and just replace every [, ] with empty string("") and than convert the string to list

manasgupta
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def flatten_list(nested_list):
flattened = []
for item in nested_list:
if isinstance(item, list):

else:
flattened.append(item)
return flattened

# Example nested list
lt = [1, [2, 3, [4, 5, 6, [7, 8, 9]]]]

# Flatten the list
flattened_list = flatten_list(lt)

print(flattened_list)

roshniagrawal
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YOu have a list of list to depth n. write a program to normalise it:

list(eval(str(b).replace(']', '').replace('[', '')))

chiluxr
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Thanks for detailed explaination!
Refferel 😂???

bhushankorg
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def normalize(input):
result = []
for item in input:
if isinstance(item, list):

else:
result.append(item)
return result


input = [1, [2, [3, 4], 5, [6, 7, 8]]]
print(normalize(input))

neeleshchoudhary
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Nested loops is important in data engineering?

artandcraftvalley
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Does referral helps in getting shortlisted ?

kunalsingh-gvrc
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what base pay we can expect for 3-3.5 yrs ?

rishabhchoubey
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Follow my YouTube channel for the SQL Pyspark DSA in python Oops in python Pandas scenarios based interview questions and answers preparation:


DEwithDhairy
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Don’t put an English title if you’re not gonna talk in English in the video

minana
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Ya toh maine boht zyada padh liya hey ya fir ye waala interview sach mey boht easy tha, but kya farak padta hey job toh fir bhi nahi hey 🥲🥲

AMARJEETKAUR-mv