If data fascinates you and you are interested in a career in the technology industry, a data engineer may be the perfect choice for you. A challenging and exciting position that will undoubtedly keep you on your feet, data engineering is a job of the future that will soon go nowhere. When it comes to becoming a data engineer, figuring out where to start can be a little daunting. First, it helps to know a little more about data engineering and what a data engineer’s day usually looks like.
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What is Data Engineering and what does a data engineer do?
Data engineers are responsible for retrieving and presenting information in a way that is easy to understand and analyze. Experienced data engineers have mastered various skills, such as system architecture, programming, interface and sensor configuration. Their daily tasks can change frequently and can include building data pipelines, implementing forecasting models, cleaning data, and more.
This should not be confused with a data scientist; in fact, data engineers often work with data scientists and are now even more sought after than data scientists. Infoworks reports that each data scientist needs at least two data engineers to perform a project or task adequately.
Salary of an engineer according to data
For many people, a lucrative salary is a key motivator when it comes to choosing a career. Since data engineers typically make six digits, it’s easy to see why this is becoming an increasingly desirable role. Glass door reports that the average annual salary in the United States for engineers according to data is 116,591 dollars. This is only the average annual base salary and does not include other company benefits that can be offered, such as holiday bonuses and stock options. At the higher end of this scale, experienced data engineers with the right credentials typically make more than $ 160,000.
Data engineering courses
One of the first steps to becoming a data engineer is proper training. This is especially important if you have no experience; those with work experience can still benefit greatly from formal training, as it can help them hone their skills and become certified, which looks great on a resume.
At Simplilearn, we offer a range of data engineering courses that can help you accelerate your career. Whether you have experience starting from scratch, you need to learn a little from everything or you want to focus on something specific, we have covered you.
Our Python Data Science course teaches students how to use Python programming, along with basic and advanced data science skills. Alternatively, you can learn all about data science as well as SAS, and get your SAS certification in our Data Science training with R Certification Training. Students can also learn all about R programming along with data science in our data science program, which was developed in collaboration with IBM. For more advanced training, enroll in our Data Scientist master’s program, another course we also developed with IBM.
The future of data engineering
For every exciting thing we hear about in the distant and not so distant future, there is a data engineer behind it. For example, self-driving cars are becoming less and less rare and may soon become the norm, with more research and development focusing on this. evolving technology. As this type of technology becomes more widespread, the demand for data engineers will continue to grow.
If you’re ready to be part of the technology that will make history, sign up for Data Engineer today!
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