Engineer Data Virtualization
Rp383.585.354 (IDR)/yr
Rp184.416,04 (IDR)/hr
Rp16.570.887 (IDR)/yr
The average engineer data virtualization gross salary in Ambon, Indonesia is Rp383.585.354 or an equivalent hourly rate of Rp184.416. This is 16% lower (-Rp75.510.108) than the average engineer data virtualization salary in Indonesia. In addition, they earn an average bonus of Rp16.570.887. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Ambon, Indonesia. An entry level engineer data virtualization (1-3 years of experience) earns an average salary of Rp273.097.071. On the other end, a senior level engineer data virtualization (8+ years of experience) earns an average salary of Rp443.564.457.
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Rp440.465.685 (IDR)
15 %
Based on our compensation data, the estimated salary potential for Engineer Data Virtualization will increase 15 % 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 Ambon, Indonesia is 2% less than the average cost of living in Indonesia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageAmbon (Indonesian pronunciation: [ˈambɔn]; formerly Dutch: Amboina) is the capital and largest city of the Indonesian province of Maluku. This city is also known as Ambon Manise, which means "beautiful" or "pretty" Ambon in the Ambonese language. It covers a land area of 359.45 square kilometres (138.78 sq mi), and had a population of 331,254 at the 2010 Census and 347,288 at the 2020 Census; the official estimate as of mid 2024 was 357,289. The city is divided into five administrative districts
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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