A data engineer is known to be a data professional whose job is to use their expertise in data engineering and programming and then build systems that can not only collect managing and converting the raw data into usable information. All this information is then used by business analysts.
What data engineers do is implement different methods for improving the quality and reliability of the data. They first take raw data from different sources and then combine all this information to create consistent and machine-readable formats. Similarly, they have to develop and test architectures that then allow data extraction and transformation for both predictive and prescriptive modeling.
As a data engineer, you might have a lot on your plate meaning, there would be many key responsibilities on your shoulders and that is why we thought to list them down for you;
Dive into the essential skills needed to Learn AWS Data Engineering Skills with our curated resources and expert tips.
If you are interested in becoming a data engineer, then you’d need a bachelor’s degree in either computer science. A degree in other fields like;
Or software engineering can also work well.
With that, you would also need real-world experience that includes an internship. This can help you land an entry-level position.
A bachelor’s or master’s degree alone can never guarantee you a great job or career. Instead whatever the skills you possess will help you stand tall in the crowd and qualify for a job as a data engineer. Below we have listed down some of the very important general and technical skills you can consider.
Want to know some of the very best data analyst certifications you can take? Below are the names that can be of good help;
Data engineer jobs are in high demand as it is a great career choice. Even in terms of job security and excellent earning potential, data engineering is an excellent choice.
Companies which are most likely to hire data engineers at high pay scale along with other perks and benefits are AirBnB, Facebook, Amazon, Cisco Systems, Capital One, Google, and Salesforce etc.
Data engineers can work in sectors like marketing, Commerce, IT Services and sales etc.
This section contains salary details of the data engineer working in different major countries. Before we start, one should know that the salary figure can never be the same for any country as different countries have different criteria, requirements, scopes, and salary ranges to offer.
Country | Average Salary (Yearly) |
United States | $118,078 |
Canada | CA$104,750 |
United Kingdom | £61,221 |
India | ₹9,96,000 |
Australia | A$119,000 |
If you are working in the US as a data engineer, then you can expect to make an average annual salary of $118,078.
In Canada, working as a data engineer can help you make around CA$104,750 per annual.
In England, data engineers are easily making £61,221 per year.
According to the demand for a data engineer in India, you can expect to make around ₹9,96,000.
Working as a data engineer in Australia can help you make around A$119,000 a year.
References/Sources:
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