Data Engineering Made Easy — A 6-Month Syllabus to Become a Data Engineer in 2024

Five hours a week to be fluent in data engineering

In today’s ever-evolving business world, the omnipresent integration of AI applications marks the paramount importance of data as a vital asset for corporate longevity and success in this transformative era.

As the data landscape continues to evolve, many new roles have emerged within the realm of data work, including the indispensable positions of Data Analyst, Data Scientist, and Data Engineer.

One of these roles even became the sexiest job in the 21st century.

Even though the hype has faded away, there’s still an enormous amount of raw data with crucial information floating around that needs to be handled by a random folk.

This individual is characterized by their hands-on approach, adept at refining data to create sophisticated training models or to generate insightful reports.

Frequently referred to as a data engineer, this individual’s role and responsibilities often traverse ambiguous boundaries

According to several sources (here and there):

• The number of data engineers more than doubled from 2013–2015, and the job growth rate is estimated…