What’s the difference between Data Analyst and Data Engineer?
For me a Data Analyst works a lot closer to the business while Data Engineering is a lot more technical and related to Data Lifecycle in the backend. The reason I’m asking about this is that one of the companies I’m very much interested in has a role which is a Data Engineer for sure but they are calling it Data Analyst. Even though it’s complete technical with limited business interactions.
Does this vary from company?

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Yes, your understanding is generally correct. But the role titles vary so much that I wouldn't emphasize it much. Focus on the compensation and responsibilities. There are data analysts making $60k and other data analysts earning $480k at different companies.

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One more thing for last year my role has remained the same but I have moved more in terms of a solution architect/design aspect. It’s still pretty much data engineering but now I’m designing the actual solution while some other team member gets delegated for implementation. I can work my way around usually as soon soon one problem is done I’m moved to another and at the same time looking after the old ones. I only have about 4 years of experience and have designed production scale solution. Thanks fully all worked as expected. But now I’m having a hard time explaining this to interviewers. How can I explain that yes my expertise are in pipeline for 3 year but since last year I have focused a lot more on design of the infrastructure m/services? They keep asking things like how much you use a specific language on a day to day basis.

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There is no standardized naming convention. Some companies basically don't know the difference.

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Get the interview and ask when you're 1:1 with them. They'll appreciate your desire for specificity and you'll get the clarity on whether or not htis is the role for yoy

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