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To be honest, that sounds like analytics/BI or data science, not data engineering. Are you suggesting OP pivot their career into one of those roles?
by panda888888 4y ago
To be honest, that sounds like analytics/BI or data science, not data engineering. Are you suggesting OP pivot their career into one of those roles?
- soumyadeb 4y agoWell, most practical ML algorithms (liner/logistic regressions etc) should be in the wheelhouse of most engineers. I read a comment somewhere "Its much easier to teach data-science to an data-engineer than vice versa" :) I think, if we data-engineers can step up the conversation from frameworks/databases to end-to-end use case, we will get more respect (and everything that comes with it like budget) from the rest of the org.
- mateo411 4y agoI think a good data engineer should incorporate some basic data analysis into their toolkit. This is what analytics/BI developers do all day everyday. Data Engineers need to do this whenever they create a new dataset. It's not hard to pick up this skillset, and this sort of analysis doesn't take a lot of time, and it will make you a really good Data Engineer.