I have my senior data engineer interview scheduled at McKinsey, however my only skillsets are SQL and BI Tools and basic python. I have very basic knowledge of big data tech stack.
I am not at all confident for the interview and will probably make a fool.of myself

Should I ask them to discard my candidature or go to the interview for khatro ke khiladi experience.

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Posting as :
works at
You are currently posting as works at

Update 2- looks like i cleared the round, was not at all expecting it

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Nice, congrats. Keep us updated!

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Bhai hm kho bhi call me add karde

likefunny

Ok sorry madam

funny

Do not run.. have a attempt.. if not selected also you will atleast have an experience.. there is no harm in trying.. all the best buddy :)

likehelpful

There is nothing wrong in making an attempt. Sometimes companies recruit people and ask them to get familiarise with necessary technology and work on them

helpful

How did u get a call then? Believe in yourself, they shortlisted you for a reason

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Whatever be the case, prep up and give it, no harm is trying. What's the worst that can happen? Rejection. So do it, good experience

likehelpful

I have same skill set Pharma+ Tableau +SQL + Alteryx and naam ke vaaste Python. I am wondering how to to get into ZS? Which area in ZS will take me at a consultant level ?
I am currently a Sr Associate in Axtria (BIM).
We all have our doubts as you feel McKinsey is a big brand. For me ZS is a big brand

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Update-

Gave the interview first 30 mins for resume grill and behaviour questions. Then one SQL questions- LC medium and one Python Dynamic Programming question- Bombed it

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Oh man, no worries. Good experience to have this interview

Just be confident and focus on your experience, challenges faced and how you overcame them, QA practices you followed, any lead experience like grooming junior folks, stakeholder engagement etc.

Remember the 80/20 rule. 80% of any tech can be learned by understanding 20% of the subject. Focus on your strengths and attempt. You have nothing to lose!

You will get the job. Best of luck.
Let me know after the interview

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Before : work from anywhere
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