Data Engineers = 80% Software Engineers

Data Engineers = 80% Software Engineers
Data Engineers should know some of the software engineering skill set .
Some of the skills needed
Ignore the skill set that you are already aware of and prepare the remaining skill ( just cover the basics and have a basic handson)
Technical Skills
1.Programming Languages: Proficiency in languages such as Python, Java, C++, JavaScript, and others relevant to your specialization.
2.Data Structures and Algorithms: Understanding of fundamental concepts to optimize code performance.
3.Software Development Methodologies: Knowledge of Agile, Scrum, and DevOps practices.
4.Version Control Systems: Experience with Git and platforms like GitHub or Bitbucket.
5.Databases: Familiarity with SQL and NoSQL databases.
6.Operating Systems: Understanding of various operating systems, especially Unix/Linux.
7.Web Development: Knowledge of front-end technologies (HTML, CSS, JavaScript frameworks) and back-end technologies (Node.js, Django, Flask).
8.Cloud Computing: Experience with AWS, Azure, or Google Cloud Platform.
9.Testing and Debugging: Ability to write and execute tests, and debug complex issues.
10. API (Application Programming Interfact)
Big Data , Spark Full Course
Part 1 - • Big Data Engineering F...
Part 2 - • Big Data Engineering F...
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[@hoangng16]

Great content bro! Do you have content or a road map to learn data engineering? I do data analytics in academia, and the issue is that the data for my research is often small. They are complex, though, but due to their small size, I only use R or Python to handle them. I want to develop data engineering skills. Thank you!

[@quaidali12]

Thanks so much for sharing such a valuable information❤

[@darshan8175]

brother how much data stucture is important

[@darshan8175]

what about startup

[@thedatatech]

Basics are wide enough bro

[@062nanthagopalm6]

Great information 💥!

[@thedatatech]

Glad you enjoyed !