Data Extraction Salaries
387 verified profilesAverage salary is ₹19.1lakhs.
Employees who know Data Extraction earn an average of ₹19.1lakhs, mostly ranging from ₹14.0lakhs to ₹46.3lakhs based on 387 profiles.
| 👨💻 Male | ₹22lakhs Male Average Salary : ₹ 22 lakhs |
|---|---|
| 👩💻 Female | ₹18lakhs Female Average Salary : ₹ 18 lakhs |
Similar Searches
100% real time & verified!
How much do Data Extraction employees make?
Employees who know Data Extraction earn an average of ₹19.1lakhs, mostly ranging from ₹14.0lakhs per year to ₹46.3lakhs per year based on 387 profiles. The top 10% of employees earn more than ₹28.0lakhs per year.
What is the average salary of Data Extraction?
Average salary of an employee who know Data Extraction is ₹19.1lakhs.
What is the highest salary offered who know Data Extraction?
Highest reported salary offered who know Data Extraction is ₹251.5lakhs. The top 10% of employees earn more than ₹28.0lakhs per year. The top 1% earn more than a whopping ₹46.3lakhs per year.
What are the most common skills required who know Data Extraction?
100% of employees have skills in data extraction . 0% also know business intelligence . 0% also know data warehousing .
What are the highest paying jobs who know Data Extraction?
The top 5 highest paying jobs who know Data Extraction with reported salaries are:
software engineer - ₹54.0lakhs per year
lead data scientist - ₹43.0lakhs per year
data engineer iii - ₹37.0lakhs per year
data science manager - ₹34.0lakhs per year
lead - ₹33.0lakhs per year
What is the median salary offered who know Data Extraction?
The median salary approximately calculated from salary profiles measured so far is ₹16.0lakhs per year.
How is the age distributed among employees who know Data Extraction?
38% of employees lie between 26-31 yrs . 35% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Data Extraction?
4% hold a PostGraduate degree. 3% hold a Graduate degree.
Which schools do employees working who know Data Extraction went to?
5% of employees studied at Jawaharlal Nehru Technological University (JNTU) . 5% studied at Anna University .
How much do Data Extraction employees make?
Employees who know Data Extraction earn an average of ₹19.1lakhs, mostly ranging from ₹14.0lakhs per year to ₹46.3lakhs per year based on 387 profiles. The top 10% of employees earn more than ₹28.0lakhs per year.
What is the average salary of Data Extraction?
Average salary of an employee who know Data Extraction is ₹19.1lakhs.
What is the highest salary offered who know Data Extraction?
Highest reported salary offered who know Data Extraction is ₹251.5lakhs. The top 10% of employees earn more than ₹28.0lakhs per year. The top 1% earn more than a whopping ₹46.3lakhs per year.
What are the most common skills required who know Data Extraction?
100% of employees have skills in data extraction . 0% also know business intelligence . 0% also know data warehousing .
What are the highest paying jobs who know Data Extraction?
The top 5 highest paying jobs who know Data Extraction with reported salaries are:
software engineer - ₹54.0lakhs per year
lead data scientist - ₹43.0lakhs per year
data engineer iii - ₹37.0lakhs per year
data science manager - ₹34.0lakhs per year
lead - ₹33.0lakhs per year
What is the median salary offered who know Data Extraction?
The median salary approximately calculated from salary profiles measured so far is ₹16.0lakhs per year.
How is the age distributed among employees who know Data Extraction?
38% of employees lie between 26-31 yrs . 35% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have who know Data Extraction?
4% hold a PostGraduate degree. 3% hold a Graduate degree.
Which schools do employees working who know Data Extraction went to?
5% of employees studied at Jawaharlal Nehru Technological University (JNTU) . 5% studied at Anna University .
- < 10 lakhs
- 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
Browse by Titles
See All
Software Engineer

Business Analyst

Product Manager

Engineering Manager

Data Scientist

UX Designer

Program Manager

Account Manager

Devops Engineer















