Very good and simple intro. However, based on type of organisation, complexity of process, data sources, infra, tools - both roles gets into different dimension of complexity.
However apart from role, looks at what makes organisation successful wrt to data and analytics game. Tune capabilities, skills and presentation to have longer and successful career.
Yup, it definitely varies by company, as I mentioned. While this is a good general distinction, not all date engineering and analytics engineering roles will fit into my descriptions for them.
That's an outstanding explanation! It's how we separate these two roles at the place where I work.
Thanks Yordan! Glad to see it resonates with you as well.
Very good and simple intro. However, based on type of organisation, complexity of process, data sources, infra, tools - both roles gets into different dimension of complexity.
However apart from role, looks at what makes organisation successful wrt to data and analytics game. Tune capabilities, skills and presentation to have longer and successful career.
Yup, it definitely varies by company, as I mentioned. While this is a good general distinction, not all date engineering and analytics engineering roles will fit into my descriptions for them.
Definitely. Thanks for the stack.
Great article Madison :)
I did a similar article to explain the differences and similarities between data engineers, data analyst and analytics engineers
https://levelup.gitconnected.com/analytics-engineering-the-art-and-science-of-data-transformation-e18fc59d06be
"Another simplified definition was provided to me by the expert Victoria Perez Mola:
“Does kafka excites you? -> data engineer
Do data dashboards and visualizing data sounds exciting? -> data analyst
Does the idea of writing complex SQL sounds fun? -> Analytics engineer”"