Engineer Data Virtualization
Rs 3,328,329 (PKR)/yr
Rs 1,600.16 (PKR)/hr
Rs 143,784 (PKR)/yr
The average engineer data virtualization gross salary in Karachi, Pakistan is Rs 3,328,329 or an equivalent hourly rate of Rs 1,600. This is 12% higher (+Rs 355,763) than the average engineer data virtualization salary in Pakistan. In addition, they earn an average bonus of Rs 143,784. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Karachi, Pakistan. An entry level engineer data virtualization (1-3 years of experience) earns an average salary of Rs 2,377,868. On the other end, a senior level engineer data virtualization (8+ years of experience) earns an average salary of Rs 3,857,606.
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Rs 4,930,954 (PKR)
48 %
Based on our compensation data, the estimated salary potential for Engineer Data Virtualization will increase 48 % over 5 years.
This chart displays the highest level of education for:
Engineer Data Virtualization, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Karachi, Pakistan is 12% more than the average cost of living in Pakistan. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageKarachi is the capital city of the province of Sindh, Pakistan. It is the largest city in Pakistan and 12th largest in the world, with a population of over 20 million. It is situated at the southern tip of the country along the Arabian Sea coast and formerly served as the country's capital from 1947 to 1959. Ranked as a beta-global city, it is Pakistan's premier industrial and financial centre, with an estimated GDP of over $200 billion (PPP) as of 2021. Karachi is a major metropolitan area and
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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