We spoke with people who have worked as data engineers and hired data engineering teams to assist students and mid-career professionals to decide if data engineering is right for them.
Following are qualities recruiters look for in the candidate for the role:
Everyone agrees that you need good development abilities for a data engineering position.
Ng explains, “You will have to write scripts and possibly some glue code.”
"Everything is now code: infrastructure, pipelines, and so on.
Courses are good, but nothing compares to hands-on experience.
A textbook, at least none of mine, does not teach you how to deal with a data pipeline interruption."
A data engineer’s key responsibilities are as follows:
- To guarantee that the data pipeline, which includes data collecting and processing, is up and running.
- Internal customers — data scientists and data analysts – must be served.
- To keep the cost of transporting and keeping data under control.
To do these tasks, an engineer must know about a large variety of tools present in the market.