Senior Data Engineer-Which Tech stack to upskill?
I am a senior Data engineer(9YOE) and have worked on a large scale Data warehousing, Spark, Orchestration(Airflow) and visualization on AWS and Azure. I currently don't have scope for tech stack improvement in my current org and would like to learn and implement my personal projects. So far, I have been advised to learn golang and kubernetes so that I could deploy ML models in the future or even move into observability space. Any suggestions on what tech stack I should learn? I want to jump to startups in a couple of months and eventually move into a pure software engineering role. Already working on leetcode and practicing system design for the same.
rzr
Stealth
7 months ago
If you want more money move swe why your staying as DE
I'm not looking at the compensation aspect. I want to work on solving or implementing large scale systems. Could you guide me what is the latest trends in backend engineering?
Not a DE, but DuckDB seems to be gaining a lot of traction as an alternative to Spark. Maybe you can check that out.
Possimpible
Stealth
7 months ago
Try to move to Backend esp python based frameworks would be helpful...
Can i connect you in DM.
I am in need of some guidance, working in Front end, and hating every minute of it
It is asking for 🍇 grapes. Not allowing me in DM
CAN YOU PLEASE SAY hi on 8090834061
