Are technology and coding seem enticing to you? Do your aspirations force you to out-walk your current role? If data engineering is what you are looking for then you are landed on the right page. Many get distracted by the lack of guidance. I’m sure you won’t afford that. Well in that case we have an entire roadmap for data engineering exclusively for you.
You are just a few steps away from your goal. Follow these steps to be a master in the field of data engineering.

Roadmap for data engineering

1) Learn the basics
To start your career in the most inclusive steam of technicality, you must have a good command of SQL, Linux, and coding. You must be familiar with computer language in order to deal with it.
Data engineering cannot be possible without computer language. So it’s good to start by enhancing your technical skill.

2) Build your first application programming interface (API)
API will become a part of your life once you master data engineering. This makes it a great start as it helps you to open various layers of technology. Through your first project, you get a chance to work on technologies like ports, HTTP requests, coding, and command lines.

3) Learn data warehouse and data pipelines.
To stand out in your data engineering stream, you need to be well versed with data engineering tools.
Nothing can be as important as learning data warehouse and data pipeline. It helps you to make your base stronger with time.

4) Apply your learning in the 2nd project- warehousing and coding
Practice makes a man perfect. Turn your learnings into knowledge by practicing it in real life.
Follow these four steps to solidify your learnings,
· Scrape the data online
· Store the data in SFTP
· Frame dimensional model
· Extract data from SFTP and load it into the data warehouse.

5) Learn test writing.
You need to develop your test writing. Testing is an important part of CI/CD process.

6) Cloud and NoSQL
Learning can help you in your future. You must have a certified experience in cloud and NoSQL to leverage your professional career.

7) Streaming and distributed system.
In the era of technology, dealing with complex system eventually becomes easy. To process data, you can learn streaming and distributed systems to be at the top.

8) Prepare for the interview.
You cannot practice big data engineering only on theories. You have to face the real world.
This makes it important for you to prepare for the interview.

9) Build your third project
By now you master data engineering in many ways. So it would be the best time for you to work on your third project, incorporating all your learning till the time.

10) Learn UI/UX
This helps you to stand out and makes you capable in creatively representing the data.

11) Groom in your interest zone.
By that time you are pretty much an expert in data engineering. So now it’s your time to decide the niche for your work. Understand your expertise and grow accordingly.

Conclusion.
Techmobius can act as a torch bearer and lead you to a point where you can master data engineering and kick-start your life in this stream.