Google Bigquery Salaries
159 verified profilesAverage salary is ₹32.7lakhs.
Employees who know Google Bigquery earn an average of ₹32.7lakhs, mostly ranging from ₹18.5lakhs to ₹173.8lakhs based on 159 profiles.
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How much do Google Bigquery employees make?
Employees who know Google Bigquery earn an average of ₹32.7lakhs, mostly ranging from ₹18.5lakhs per year to ₹173.8lakhs per year based on 159 profiles. The top 10% of employees earn more than ₹61.7lakhs per year.
What is the average salary of Google Bigquery?
Average salary of an employee who know Google Bigquery is ₹32.7lakhs.
What is the highest salary offered who know Google Bigquery?
Highest reported salary offered who know Google Bigquery is ₹236.1lakhs. The top 10% of employees earn more than ₹61.7lakhs per year. The top 1% earn more than a whopping ₹173.8lakhs per year.
What are the most common skills required who know Google Bigquery?
100% of employees have skills in google bigquery . 0% also know sql . 0% also know python .
What are the highest paying jobs who know Google Bigquery?
The top 5 highest paying jobs who know Google Bigquery with reported salaries are:
senior data engineer - ₹61.0lakhs per year
senior manager - ₹55.0lakhs per year
technical lead - ₹39.0lakhs per year
senior software engineer - ₹39.0lakhs per year
senior associate platform ii - ₹36.0lakhs per year
What is the median salary offered who know Google Bigquery?
The median salary approximately calculated from salary profiles measured so far is ₹24.3lakhs per year.
How is the age distributed among employees who know Google Bigquery?
36% of employees lie between 26-31 yrs . 31% of the employees fall in the age group of 21-26 yrs .
What qualifications do employees have who know Google Bigquery?
8% hold a PostGraduate degree. 3% hold a Graduate degree.
Which schools do employees working who know Google Bigquery went to?
4% of employees studied at Indian Institute of Technology . 3% studied at G.B. Pant Govt. Engineering College .
How much do Google Bigquery employees make?
Employees who know Google Bigquery earn an average of ₹32.7lakhs, mostly ranging from ₹18.5lakhs per year to ₹173.8lakhs per year based on 159 profiles. The top 10% of employees earn more than ₹61.7lakhs per year.
What is the average salary of Google Bigquery?
Average salary of an employee who know Google Bigquery is ₹32.7lakhs.
What is the highest salary offered who know Google Bigquery?
Highest reported salary offered who know Google Bigquery is ₹236.1lakhs. The top 10% of employees earn more than ₹61.7lakhs per year. The top 1% earn more than a whopping ₹173.8lakhs per year.
What are the most common skills required who know Google Bigquery?
100% of employees have skills in google bigquery . 0% also know sql . 0% also know python .
What are the highest paying jobs who know Google Bigquery?
The top 5 highest paying jobs who know Google Bigquery with reported salaries are:
senior data engineer - ₹61.0lakhs per year
senior manager - ₹55.0lakhs per year
technical lead - ₹39.0lakhs per year
senior software engineer - ₹39.0lakhs per year
senior associate platform ii - ₹36.0lakhs per year
What is the median salary offered who know Google Bigquery?
The median salary approximately calculated from salary profiles measured so far is ₹24.3lakhs per year.
How is the age distributed among employees who know Google Bigquery?
36% of employees lie between 26-31 yrs . 31% of the employees fall in the age group of 21-26 yrs .
What qualifications do employees have who know Google Bigquery?
8% hold a PostGraduate degree. 3% hold a Graduate degree.
Which schools do employees working who know Google Bigquery went to?
4% of employees studied at Indian Institute of Technology . 3% studied at G.B. Pant Govt. Engineering College .
| 10-20 lakhs | 10-20 lakhs Percentage : 40 |
|---|---|
| 20-30 lakhs | 20-30 lakhs Percentage : 25 |
| 30-40 lakhs | 30-40 lakhs Percentage : 14 |
| 40-50 lakhs | 40-50 lakhs Percentage : 6 |
| > 50 lakhs | > 50 lakhs Percentage : 15 |
| 21-26 yrs | 21-26 yrs Percentage : 31 |
|---|---|
| 26-31 yrs | 26-31 yrs Percentage : 36 |
| 31-36 yrs | 31-36 yrs Percentage : 18 |
| 36-41 yrs | 36-41 yrs Percentage : 4 |
| > 41 yrs | > 41 yrs Percentage : 1 |
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