Average Data Engineer Salary in Hyderabad, Andhra Pradesh
The average annual salary of Data Engineer is ₹10,13,834.00
The starting salary of Data Engineer is between ₹3,96,542.00 and ₹4,66,520.00 whereas the maximum salary range is between ₹20,80,000.00 and ₹23,92,000.00.
Minimum Annual Pay | Maximum Annual Pay |
---|---|
₹3,96,542.00 | ₹23,92,000.00 |
- Currency : INR
- Annual Salary : ₹10,13,834.00
- Weekly Pay : ₹18,929.00
- Fortnightly Salary : ₹37,858.00
- Monthly Salary : ₹82,025.00
Data Engineer Salary Comparison by Gender
This pie chart demonstrates the gender share for Data Engineer. As indicated, the golden colour represents the percentage share for women and the green represents the percentage share for men.
As shown in the chart, male employees are involved significantly more as Data Engineer compared to female. Their involvement is 90% while of female is only 10%.
Salary Distribution Based on Years of Experience
The line graph shows Data Engineer salary in Hyderabad, Andhra Pradesh, India on an annual basis. In this graph specifically, it is indicated that as the years of experience increases, so does their wages.
For Data Engineer working less than a year in a company, you notice that their annual salary starts around ₹8,01,040.24.
As the years of experience reaches 1 to 4, there is a decrease of ₹17,048.42 which would decline total wage to ₹7,83,991.82.
Once the experience reaches 5-9 years Data Engineer salary would increase again to a total of ₹15,28,425.05, adding ₹7,44,433.23 from the last salary increase.
After reaching the 10-19 year experience in their career, another increase in salary will be added to a total of ₹20,33,000.00.
Prominent Skills Affecting Data Engineer Salary
The bar graph data indicates the importance of specific skills which can have a direct impact on Data Engineer's salary. It clearly highlights the skills needed for a post of Data Engineer when hired by an employer.
The most vital skill expected of Data Engineer is Apache Hive which impacts the most than the rest of the skills indicated with a staggering 50% comparatively. Therefore, one’s salary would greatly depend on their skills in Apache Hive.
The skill least likely to affect one’s pay would be ETL (Extract, transform, load) with 1%. It can be said that ETL (Extract, transform, load) skill will unlikely impact the salary.
Compensation Statistics Based on Experience Levels
This combination of a line and the bar graph shows how the experience affects the salary of Data Engineer. Companies are considering factors like training and education directly affecting the salary offered to you as an employee. The line graph shows the salary increment with the increase in experience whereas the bar graph shows the comparision of how the salary is getting affected based on experience level.
As shown in the trends, lowest earning is ₹7,70,514.00 whereas the highest earning is ₹20,37,806.00 which clearly shows the salary increases with the level of expertise.
Late Career person will earn the maximum salary of ₹20,37,806.00 at 101%. So to summerize, Entry Level earns 23% less than the average salary, Early Career earns 24% less than the average salary, Mid Carrer earns 49% more than the average salary, Late Career earns 101% more than the average salary.
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