Following is the chronological schedule or timetable of a data engineer:
I had lunch with my teammates.
We talk about life, work, and technology. Everyone can talk about anything without putting any pretenses on the table.
My workday resumes with some software development. Data engineers continue to work on data-related software.
I interpret SQL queries, run tests in the Hadoop ecosystem, double-check that the change will not place too much strain on storage, and then commit the change.
The development process could become stalled for various reasons: the code will not compile, the production and test environments will not match, or the queries will contain mistakes.
I am frequently asked to perform a production release. We want to change tables, renew queries, or start a new pipeline.
Working for a firm that focuses on engineering, I am pleased to automate all software procedures. I have to hit a few buttons, and the scripts will take care of the rest.
We will have a new version of the data system up and running if everything goes well.
Time to wrap up and leave for our humble aboard.