Hi folks, My total experience: 4.8 years My techstacks in Dataengineering: Python, SQL, Azure, Databricks Current CTC:11.2 LPA (10.45 FIXED) in INR S&P offer: 24.24 lpa (23 lpa Base) + 5% MaxVariable S&p Tech stacks: python, gcp, bigquery, Apache Beam. Tiger analytics: 21.5 lpa Tech stacks: AWS, Databricks, snowflake, mongodb and other niche technology. Any suggestions if s&p techstacks are good enough compared to tiger analytics. Or should I join tiger analytics #dataengineerinterview #dataengineer #compensation #softwareengineer #softwaredevelopersalary
Modern is relative. Mongo is old and dying. S&p has a lot of AWS exposure and databricks. Your team may not be using AWS, but every other team is . Gcp is something new
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I don't even understand what the hell you want
I just want an opinion if s&p has a higher salary compared to tiger , but tiger has more modern techstacks Which one should I go for if tiger gives me 21.5 fixed. S&p has better wlb.