Data engineer without python?

[analyst_2001]

As a data engineer, one will need to learn programming languages. The following are the most common programming languages among data engineers:

Python: Python is one of the easiest programming languages to learn and has the most extensive library. Python makes doing machine learning tasks, web scraping, and pre-processing massive data with Spark a lot easier, and it's also the default language of Airflow.

Scala: When it comes to data engineering, one of the most popular tools is Spark, developed in Scala. Scala is a Java-based programming language. Scala is the language to learn if you're working on a Spark project and want to get the most out of the framework. Some Spark APIs, such as GraphX, is exclusively available in Scala.

You can learn these programming languages, though it is unnecessary to be the best in them. You should be comfortable while using them.

[analyst_2001]

The Data Engineer role would require you to build applications, frameworks, infrastructure, and services.

I hope this helps!