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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 KPMG KPMG India Tiger Analytics
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Hi Guys, Currently I am working as a Teradata Developer. And I want to go for the data engineering role for my next switch. Could you please let me know the steps that I could follow to learn new skills for data engineering role. Publicis Sapient Nagarro Amazon IBM Deloitte Cognizant Teradata Paytm EPAM Systems
Larsen & Toubro Infotech Which is the most common questions you ask/get asked in data engineering interview?Accenture Tata Consultancy Newco Deloitte Infosys Fractal Adobe Capgemini Cognizant Impetus technologies inc GSK Visa EY Wipro Walmart HCL Technologies Publicis Sapient PwC Citi Larsen & Toubro Infotech Mindtree Microsoft Nagarro Boston Consulting Group Virtusa VMware ZS Associates JPMorgan Chase GlobalLogic Goldman Sachs Fiserv, Inc Deloitte USI Amazon Oracle IBM ITC Infotech
Hi everyone, I am 4.9 years experienced , I joined Fractal 3 months ago as a data engineer, but still haven't got any project. Process is so slow that I have received only 4 to 5 project calls. I switched in hopes that will learn the new tech and tools. But now i am starting to forget even the one i knew. Should i go for change or wait a little more time as fractal is reputed in AI/ML? I have interview lined up with Impetus as for now. Would it be better choice?
American Express Hey Guys,Can anyone who is a Data Engineer and working with Big Tech Companies share some light on how you guys are preparing for interviews?How are you learning so fast/so much?Can you please share some plan or guide me on what resources you are following?There are too many things. And in my current organization I am not able to learn those.I want to learn fast and more.I see profiles on LinkedIn that are filled with big data techstack.Please guide. Adobe Amazon Walmart Expedia, Inc. American E
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No bro. Definitely not. 8.3 YOE and 16 lpa is not correct. Market is booming and you should easily try for 25+ LPA. Myself same experience and recent switch gave me 100%. Mine is first switch from Infosys after 8.3 years
Ok bro... If you come accross any openings then please do share ... Also if you have any referrals outside your company also much appreciated