What are the key skills I should focus on , to get into DE (not ds) roles. I am currently a Devops/ platform engineer.

I’m currently on the gcp stack if that matters.

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Python + SQL.
Learn airflow and kaftka. Pick up a cloud database (i.e. snowflake).
Understand data warehousing, schemas, and ELT pipelines.

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What level of python would you say is required ? I know the basics. I’d assume not really advanced as a data scientist ? Also could you suggest resources to learn pipelines, or can I just pick one such as Udemy etc.

I’m currently working on the gcp stack

Data science is really a consumption layer. Data engineering is more heavy on robust programming, fault tolerance, scalability and so on.

You should look at the company you want to start at and learn their stack. Dbt is really big now so you may want to pick that up and that will hone your sql which is important no matter what you end up in

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