Database Administrator Structured Query Language
164 296 ₾ (GEL)/yr
78,99 ₾ (GEL)/hr
7 032 ₾ (GEL)/yr
The average database administrator structured query language gross salary in Georgia is 164 296 ₾ or an equivalent hourly rate of 79 ₾. In addition, they earn an average bonus of 7 032 ₾. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Georgia. An entry level database administrator structured query language (1-3 years of experience) earns an average salary of 117 776 ₾. On the other end, a senior level database administrator structured query language (8+ years of experience) earns an average salary of 190 890 ₾.
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205 762 ₾ (GEL)
25 %
Based on our compensation data, the estimated salary potential for Database Administrator Structured Query Language will increase 25 % over 5 years.
This chart displays the highest level of education for:
Database Administrator Structured Query Language, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryCost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageGeorgia is a country in the Caucasus region on the coast of the Black Sea. It is located at the intersection of Eastern Europe and West Asia, and is today generally regarded as part of Europe. It is bordered to the north and northeast by Russia; to the west by the Black Sea, to the south by Turkey and Armenia, and to the southeast by Azerbaijan. Georgia covers an area of 69,700 square kilometres (26,900 sq mi). It has a population of 3.9 million, of which over a third live in Tbilisi, the capita
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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