Gartner predicted that 2021 would be the year of hyper-automation, giving rise to the demand for Big Data Engineers. Today, it’s one of the most lucrative job roles in the industry. But, what factors are involved in determining the salary for a Big Data Engineer? Here’s everything you need to know about data scientists and analytics salary packages.
Big Data Engineer Job Trends
Let’s analyse jobs available on various employment portals to know the market trend.
Job Distribution based on Big Data Engineer Salary
Indeed (India): Data Engineer Salary
Indeed (India): Big Data Engineer Salary
Indeed (US): Data Engineer Salary
Indeed (US): Big Data Engineer Salary
Big Data Engineer Salary
Data Engineer – India
Sr. Data Engineer – India
Data Engineer – US
Sr. Data Engineer – US
Big Data Engineer Salary Based on Experience
Based on experience, Big Data Engineer Salary varies. Let’s take a look:
Entry-Level Data Engineer Salary(U.S.)
Experienced Data Engineer Salary
Entry Level Data Engineer Salary(India)
Experienced Data Engineer Salary(India)
Big Data Engineer Salary Based on Skills
Every job comes with set responsibilities and requisite skills, and it plays an important role in deciding your salary. Let’s see how this factor affects the Big Data Jobs.
In India, a Data Engineer with Data Analysis Skills gets an average salary of ₹ 722,422, whereas someone with ETL (Extract, transform, load) skills receives ₹ 902,427. The total pay can range from ₹ 802,934 to ₹ 2,102,934.
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