In the age of big data and data-driven AI, many companies start to realize the importance of establishing data engineering best practices. As a result, the demand for data engineering has been growing rapidly. Currently there is a huge supply and demand mismatch in the talent market. One reason for the imbalance is that modern data engineering requires new tools/skills and traditional learning environments such as universities, colleges, and bootcamps don’t keep up with the trends. Another reason is that data engineering is hard to teach! Curriculums need to be extremely hands-on, and it requires very seasoned instructors who work in the fields to teach in the most practical way.
Interested in becoming a data engineer? Want to acquire the essential DE skills and build portfolio projects? Fill out the form to download syllabus or talk to our program advisor directly.
In this 12-week part-time course you will learn how to code like a data engineer and build up the foundation skills for a data engineering. The core skills covered in this course include: python and scala programming, bash/shell scripting, docker and kubernetes, cloud computing (AWS, GCP), as well as apache spark.
You will put these tools to use by implementing a capstone big data project and learn how to build big data pipelines with the guidance from our expert instructors who specialize in these areas
Data engineers are usually harder to train and source because the program needs to be very practical/hands-on and there is not much theory to teach. The open-source communities are also pushing out new tools and platforms on a regular basis which makes teaching data engineering challenging because materials need to be updated rapidly to keep up with the latest trends. At WeCloudData, we have heard from many hiring managers and recruiting agencies say that while the demand for data engineers is great, data engineer talents are even harder to find compared to data scientists.
The Data Engineering Fundamentals course is a 12-week part-time course that trains IT professionals, data scientists, and developers who want to up-skill themselves to get into the data engineering field. This is an intensive and hands-on course that requires a lot of programming, scripting, and project implementation. You will learn Linux, Docker, Scala & Functional Programming, Apache Spark and build an end-to-end data pipeline in the AWS cloud.
Thank you for interested in our courses. You can now download the Course Package.