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Hi Fishes, Welcome to the data engineering Hive. Since we are growing it will be great if we can start with a brief introduction with this this thread. Mine is as follows

Company :- Harman international
YOE :- 6
tech :- AWS, Spark, Hadoop, airflow , Kafka , python , informatica, oracle, plsql ,sql

likesmart

Hey Fishes,

I'm in a biggest confusion here. And its pushing me to depression. Please help me if possible. I got 2 offers and both are good reputed product based companies. And offered the same role.

Fractal Infosys Tata Consultancy Wipro Accenture Microsoft IBM Cognizant

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Hi Guys, Can you please tell me which tech stack is better :
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Dunnhumby - PySpark and Airflow

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Hi Fishes,
I have 1.8 yrs Exp and working in the Big data domain and have a few offers please help to decide on the comparatively better option based on salary, Work-life Balance, security, and Carrer Growth.

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Neudesic (IBM) 16 CTC ( 14.5 FIXED + WFH Remote Complete )
PubMatic: 22.70 CTC + 2 lakhs Joining Bonus ( 16 fixed LPA + Other benifits, stocks, etc )

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Please suggest

YOE 2.4
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@Rich Products Corporation - 18.5

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Hi fishes,

Need your opinion.

Working for
Wipro as azure data engineer in Spark, Hive, Azure ADF, ADB etc.

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Total YOE: 11 years

Relevant exp in big data: 6 yrs

Relevant exp in Azure: 2+ yrs

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Getting calls from some product companies like JPMorgan Chase Chubb. How much can I expect from these product companies?

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McKinsey & Company Hi guys,

Please help me with the referral.

Senior/Lead data Engineer

Exp -- 8.5 years
Notice period -- 30 days
Tech stack -- Big data,Hadoop, Spark, Kafka, Azure,Python,Scala,Sql

Please ping your email id .I will share the Cisco" class="linkified" target="_blank" rel="nofollow" >resume.Cisco Target Bosch Intuit Amazon McKinsey & Company Indeed Flipkart JPMorgan Chase Morgan Stanley VMware Intel Corporation Hewlett Packard Enterprise Paypal Salesforce

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