Next Level presentation of end to end Data Engineering Pipeline
Data Sources - Multiple sources of data.
Structured, Unstructured, Semi structured.
Data Loaders - All this data is then ingested to the Data Lake.
Once the Data is in Data Lake, we keep doing multiple transformations and the data quality keeps getting better at each stage.
The cleaned up / processed data is then given to various visualization tools to get insights from it.
This is a perfect ELT pipeline (Extract Load Transform). Here we load everything first in the Data Lake and then later we transform the data to seek for insights.
Credit : Semantix
Do you want to know How to Become a Data Engineer?.. If yes, this article is for you. In this article, you will find a step-by-step roadmap for a Data Engineer. Along with that, at each step, you will find resources to learn data engineering topics. So without any further ado, let’s get started-So, these are some main roles and responsibilities of a data engineer. But most roles and responsibilities differ upon the companies.
Before deep dive to the skills, Like to share one analysis regarding Data Engineering Skills-
According to analysis, the most demanding skills or technologies for Data engineers are SQL, Python, Spark, AWS, and so on.
Now, let’s discuss skills required for Data Engineer:-
These are some mandatory skills required for Data engineers. let’s see, in what order you have to learn these skills.
To become a Data Engineer, One should have a good understanding of Programming languages and Software Engineering concepts. The industry standard mostly revolves around two technologies: Python and Scala.
Start with Python and after having a good understanding of Python, learn the basics of Scala. You can learn these languages with these resources-
Start with learning SQL. SQL is the most demanding skill for Data Engineer. You should have a strong understanding of SQL. Knowledge of NoSQL is also required because sometimes you have to deal with unstructured data.
You can learn SQL and NoSQL from these courses-
Once you master Python and SQL, the next step is to learn Big Data tools. Knowledge of Big Data tools like- Hadoop and MapReduce., Apache Spark, Apache Hive, Kafka, Apache Pig, and Sqoop is mandatory.
One should have at least basic knowledge of all these tools. You can learn Big Data from these courses-
Data Engineers have to perform ETL operations. That’s why one should be expertise with ETL tools like- Informatica & Talend. You can learn these tools through online courses. I have found some resources for learning these tools-
More and more application workloads are moving to the different cloud platforms. That’s why the data science/engineering community must have a good understanding of these clouds. You can learn about Google Cloud Platform or AWS or AZURE.
One can learn Cloud Computing with these courses-
As a Data Engineer, it’s not mandatory to have Machine Learning knowledge, but having a basic knowledge of ML Algorithms is a plus for you. You can learn Machine Learning Basics with the “Machine Learning by Andrew Ng” FREE Course.
One should have a basic understanding of Data Visualization tools. You can learn either Tableau or PowerBI. One can grab knowledge of Data Visualization from below courses:-
Well Congratulation! 😊 You are now well versed in Data Engineering Skills. It’s time to start working on some Real-World projects. Projects are most important to get a job as a Data Engineer.
The more projects you will do, the more deep understanding of Data you will grasp. Projects will also provide more privilege to your CV.
For learning purposes, you can start with real-time streaming data from social media platforms where APIs are available like Twitter.
Now you have all the data engineering skills and projects, it’s time to take your first step as Data Engineer. And that is Make a Strong Resume.
Your Resume is the first impression for any recruiters. No matter how skilled you are, if your resume is not attractive, sorry you will not get an interview call. That’s why you shouldn’t ignore your CV.
If you want that your resume will get more privilege than others, then you should keep these things in mind-
That’s all!. If you follow these steps and gain these required skills, then no one can stop you to land in Data Engineering Field.
Conclusion
In this article, I have discussed How to Become a Data Engineer? If you have any doubts or queries, feel free to ask me in the comment section. I am here to help you.
All the Best for your Career!
Happy Learning! 😊