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Hi all, I’m a self taught data scientist and I recently was laid off. I want to make a career transition into more of an engineer role as I think DS is getting saturated (I’m a junior). What tools should I pick up and up-skill on in order to have a better chance at landing a data/analytics engineer job? I’ve deployed machine learning models before to AWS, know OOP standards and usually convert my notebook analysis into Python scripts with functions and classes, automated web scraping with cron jobs, know SQL and have contributed towards a semantic search engine that pulls from a database. Can share resume and talk more in private if anyone is willing to take a look and give me a pathway of what I need to learn. Thank you! #data #dataanalytics #datascience #dataengineering #analytics
You seem to be fine tbh
Engineering is also saturated
Data and domain modeling, cloud warehouse & big data infra/ops, CI/CD, Data Eng & DAG orchestration, Data governance
Hey appreciate the comment. I know the basics to modeling like star schema and snowflake and when to normalize 1NF, 2NF and so on. Im staring to pick up dbt right now, is there anything in specific I should learn about for the rest of the stack?
Picking up dbt is a good call- check out below guides https://tuanchris.medium.com/become-an-analytics-engineer-in-90-days-759659d22ffd https://medium.com/@baluramachandra90/becoming-an-analytics-engineer-in-2023-a-data-analyst-guide-1faf6d1cc89c
Following.. looking for some similar guidance.