Google Bigquery Salaries
76 verified profilesAverage salary is ₹28.4lakhs.
Employees who know Google Bigquery earn an average of ₹28.4lakhs, mostly ranging from ₹18.3lakhs to ₹78.4lakhs based on 76 profiles.
| 👨💻 Male | ₹20lakhs Male Average Salary : ₹ 20 lakhs |
|---|---|
| 👩💻 Female | ₹16lakhs Female Average Salary : ₹ 16 lakhs |
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How much do Google Bigquery employees make?
Employees who know Google Bigquery earn an average of ₹28.4lakhs, mostly ranging from ₹18.3lakhs per year to ₹78.4lakhs per year based on 76 profiles. The top 10% of employees earn more than ₹47.4lakhs per year.
What is the average salary of Google Bigquery?
Average salary of an employee who know Google Bigquery is ₹28.4lakhs.
What is the highest salary offered who know Google Bigquery?
Highest reported salary offered who know Google Bigquery is ₹80.3lakhs. The top 10% of employees earn more than ₹47.4lakhs per year. The top 1% earn more than a whopping ₹78.4lakhs 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:
lead software engineer - ₹74.0lakhs per year
senior software engineer - ₹44.0lakhs per year
technical lead - ₹39.0lakhs per year
data scientist - ₹32.0lakhs per year
manager - ₹31.0lakhs per year
What is the median salary offered who know Google Bigquery?
The median salary approximately calculated from salary profiles measured so far is ₹22.7lakhs per year.
How is the age distributed among employees who know Google Bigquery?
42% of employees lie between 26-31 yrs . 25% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Google Bigquery?
9% hold a PostGraduate degree. 3% hold a Graduate degree.
Which schools do employees working who know Google Bigquery went to?
5% of employees studied at Indian Institute of Technology . 4% studied at Amrita Vishwa Vidyapeetham .
How much do Google Bigquery employees make?
Employees who know Google Bigquery earn an average of ₹28.4lakhs, mostly ranging from ₹18.3lakhs per year to ₹78.4lakhs per year based on 76 profiles. The top 10% of employees earn more than ₹47.4lakhs per year.
What is the average salary of Google Bigquery?
Average salary of an employee who know Google Bigquery is ₹28.4lakhs.
What is the highest salary offered who know Google Bigquery?
Highest reported salary offered who know Google Bigquery is ₹80.3lakhs. The top 10% of employees earn more than ₹47.4lakhs per year. The top 1% earn more than a whopping ₹78.4lakhs 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:
lead software engineer - ₹74.0lakhs per year
senior software engineer - ₹44.0lakhs per year
technical lead - ₹39.0lakhs per year
data scientist - ₹32.0lakhs per year
manager - ₹31.0lakhs per year
What is the median salary offered who know Google Bigquery?
The median salary approximately calculated from salary profiles measured so far is ₹22.7lakhs per year.
How is the age distributed among employees who know Google Bigquery?
42% of employees lie between 26-31 yrs . 25% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Google Bigquery?
9% hold a PostGraduate degree. 3% hold a Graduate degree.
Which schools do employees working who know Google Bigquery went to?
5% of employees studied at Indian Institute of Technology . 4% studied at Amrita Vishwa Vidyapeetham .
| 10-20 lakhs | 10-20 lakhs Percentage : 39 |
|---|---|
| 20-30 lakhs | 20-30 lakhs Percentage : 28 |
| 30-40 lakhs | 30-40 lakhs Percentage : 16 |
| 40-50 lakhs | 40-50 lakhs Percentage : 7 |
| > 50 lakhs | > 50 lakhs Percentage : 11 |
| 21-26 yrs | 21-26 yrs Percentage : 22 |
|---|---|
| 26-31 yrs | 26-31 yrs Percentage : 42 |
| 31-36 yrs | 31-36 yrs Percentage : 25 |
| 36-41 yrs | 36-41 yrs Percentage : 5 |
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