I need your suggestion . I have a total of 7.5 years of experience. I have jobs from :-
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Hi fishes,
Need your opinion.
Working for Wipro as azure data engineer in Spark, Hive, Azure ADF, ADB etc.
Current CTC: 17.5 LPA
Total YOE: 11 years
Relevant exp in big data: 6 yrs
Relevant exp in Azure: 2+ yrs
Got offer from Atos of 26.4 LPA. Is this a good offer? or Shall I search other job at 30+ LPA?
Getting calls from some product companies like JPMorgan Chase Chubb. How much can I expect from these product companies?
Wipro Infosys Tata Consultancy IBM Capgemini Cognizant Accenture India
^ You are a fuddu banda
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Hi fishes, I'm having below 2 offers. I'm little bit confused. Can you help me to choose one. Factors : career growth, work life balance. YOE : 2.7 yrs 1.Shell - Senior process data engineer (11+ 2L(variable) + 2.3L joining bonus (1 year) ) 2.Tiger Analytics - data science - python developer (14L fixed + 1L(2 year clause)) Shell Tiger Analytics
Hello everyone, I am Data Engineer with skills on Azure and am holding couple of offers KPMG Digital Lighthouse as Consultant : 12.5 LPA fixed +20% variable +1.25L bonus Tiger Analytics as SE : 14.5 fixed YOE : 4.1 years Can you please help me with which is better in terms of growth and WLB with your insights ? Tata Consultancy KPMG India Tiger Analytics KPMG Deloitte EY
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Anyone who can comment about the work culture of tiger analytics. I will be joining as senior data scientist
Things I've noticed working in tiger---
1. You wil be laid off if ur performance is not good(if u receive multiple negative client feedbacks). They will put u in PIP and in 1 mnth they will let u go
2. Promotions here totally NOT depends on your performance and only on your org contribution
3. Micromanagement is there in mnay of the projs
4, there are high chanxes you wil be put in the proj not aligned to ur skils n then you will be off boarded within 1-2 mnth ; happened with a lot of my colleagues
Positive is ... if you are somehow deployed to a favourable project and performing exceptionally for the WHOLE YEAR then definitely it's a good company and you get gud hike ; keep ur manager nd mentor updted
I've seen lead data scientists who contribute and manage. Depends on the team you're hired for.
Negotiate with Tiger to give you 33 LPA. They have the budget.
Otherwise it doesn't make sense. It is an above avg IT org.