Bigdata Salaries
57 verified profilesAverage salary is ₹30.7lakhs.
Employees who know Bigdata earn an average of ₹30.7lakhs, mostly ranging from ₹24.3lakhs to ₹108.7lakhs based on 57 profiles.
| 👨💻 Male | ₹27lakhs Male Average Salary : ₹ 27 lakhs |
|---|---|
| 👩💻 Female | ₹28lakhs Female Average Salary : ₹ 28 lakhs |
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SAP Ariba
Bengaluru | 1yrs | Base: ₹10.2lakhs Stocks: - Bonus: - CTC:₹10.2lakhs | |||
Engineering Manager
Male | 12.1yrs | Base: ₹31.5lakhs Stocks: - Bonus: ₹3.0lakhs CTC:₹34.5lakhs | |||
Vesture Softech P
Hydera | 13.4yrs | Base: ₹26.9lakhs Stocks: ₹3.3lakhs Bonus: ₹4.5lakhs CTC:₹34.7lakhs | |||
Continental
Bangalore | Lead Data Scientist
Male | 10.3yrs | Base: ₹23.2lakhs Stocks: - Bonus: ₹3.6lakhs CTC:₹26.8lakhs | ||
7.3yrs | Base: ₹18.3lakhs Stocks: - Bonus: ₹0.7lakhs CTC:₹19.0lakhs | ||||
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How much do Bigdata employees make?
Employees who know Bigdata earn an average of ₹30.7lakhs, mostly ranging from ₹24.3lakhs per year to ₹108.7lakhs per year based on 57 profiles. The top 10% of employees earn more than ₹42.5lakhs per year.
What is the average salary of Bigdata?
Average salary of an employee who know Bigdata is ₹30.7lakhs.
What is the highest salary offered who know Bigdata?
Highest reported salary offered who know Bigdata is ₹169.2lakhs. The top 10% of employees earn more than ₹42.5lakhs per year. The top 1% earn more than a whopping ₹108.7lakhs per year.
What are the most common skills required who know Bigdata?
100% of employees have skills in bigdata . 0% also know aws . 0% also know java .
What are the highest paying jobs who know Bigdata?
The top 5 highest paying jobs who know Bigdata with reported salaries are:
senior data engineer - ₹56.0lakhs per year
deputy vice president - ₹39.0lakhs per year
manager - ₹36.0lakhs per year
technical architect - ₹30.0lakhs per year
lead - ₹29.0lakhs per year
What is the median salary offered who know Bigdata?
The median salary approximately calculated from salary profiles measured so far is ₹26.2lakhs per year.
How is the age distributed among employees who know Bigdata?
40% of employees lie between 31-36 yrs . 18% of the employees fall in the age group of 26-31 yrs .
What qualifications do employees have who know Bigdata?
28% hold a Graduate degree. 4% hold a PostGraduate degree.
Which schools do employees working who know Bigdata went to?
16% of employees studied at Indian Institute of Technology . 5% studied at Mepco Schlenk Engineering College .
How much do Bigdata employees make?
Employees who know Bigdata earn an average of ��30.7lakhs, mostly ranging from ₹24.3lakhs per year to ₹108.7lakhs per year based on 57 profiles. The top 10% of employees earn more than ₹42.5lakhs per year.
What is the average salary of Bigdata?
Average salary of an employee who know Bigdata is ₹30.7lakhs.
What is the highest salary offered who know Bigdata?
Highest reported salary offered who know Bigdata is ₹169.2lakhs. The top 10% of employees earn more than ₹42.5lakhs per year. The top 1% earn more than a whopping ₹108.7lakhs per year.
What are the most common skills required who know Bigdata?
100% of employees have skills in bigdata . 0% also know aws . 0% also know java .
What are the highest paying jobs who know Bigdata?
The top 5 highest paying jobs who know Bigdata with reported salaries are:
senior data engineer - ₹56.0lakhs per year
deputy vice president - ₹39.0lakhs per year
manager - ₹36.0lakhs per year
technical architect - ₹30.0lakhs per year
lead - ₹29.0lakhs per year
What is the median salary offered who know Bigdata?
The median salary approximately calculated from salary profiles measured so far is ₹26.2lakhs per year.
How is the age distributed among employees who know Bigdata?
40% of employees lie between 31-36 yrs . 18% of the employees fall in the age group of 26-31 yrs .
What qualifications do employees have who know Bigdata?
28% hold a Graduate degree. 4% hold a PostGraduate degree.
Which schools do employees working who know Bigdata went to?
16% of employees studied at Indian Institute of Technology . 5% studied at Mepco Schlenk Engineering College .
- 10-20 lakhs
- 20-30 lakhs
- 30-40 lakhs
- 40-50 lakhs
- > 50 lakhs
- 21-26 yrs
- 26-31 yrs
- 31-36 yrs
- 36-41 yrs
- > 41 yrs
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