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Nobody tells you this about becoming a data engineer: You think your job will be: writing SQL, building pipelines, coding all day Reality? It’s more like talking to business stakeholders who don’t really know what they want, figuring out what data product they actually need, translating vague ideas into real systems, building something… then changing it 3 times. On top of that:, fixing broken pipelines and issues (almost everyday), dealing with messy, inconsistent data, debugging systems instead
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These are the SQL questions that I practiced to pass technical rounds for data science interviews at both meta and Netflix. While the questions here and in the interviews were not technically challenging, they do test your attention to detail and your thought process. Be sure to talk through your work as you code! #datascience #dataanalyst #sql #codinginterview #techinterview
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I’ve seen SQL coding questions similar to this in so many data science interviews, even at the senior level. It’s relatively simple — but there are some obstacles to overcome. In this video, I’m going to make a very subtle mistake— can you figure out why the calculated conversion rate is wrong? I’ll have the answer in a follow-up video. Following and engaging is by far the best way to support this content. 🙏🙏 #datascience #datascientist #dataanalyst #breakintotech #sql #learnsql #codingchallen
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TikTokjonathan.interviews
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