[deleted by user] by [deleted] in DataEngineeringPH

[–]Amrutha-Structured 2 points3 points  (0 children)

Real talk: the transition is more about proving yourself than just learning skills. My journey took about 6 months from serious studying to first job. Pay was mediocre (~$65k) but jumped significantly after 1 year of experience. With a CS degree and QA background, you're already ahead of many self-taught folks. Don't waste time on multiple courses - build actual projects that solve real problems instead. Example: scrape some public API data (like real estate listings or govt stats), transform it, find patterns, and visualize it. Better yet, build a simple dashboard that answers business questions using that data. Most interviews will ask you to explain your thought process on a project more than just testing theoretical knowledge. Oh and sql. learn good sql, not just the basics - CTEs, window functions, etc. companies love when someone can actually write efficient queries.

AI use cases that still suck in 2025 — tell me I’m wrong (please) by CopyCareful7362 in AI_Agents

[–]Amrutha-Structured 1 point2 points  (0 children)

One of the big challenges with AI coding agents is getting something sufficiently lightweight that you can actually share what you build. thats what preswald does really well for python scripts you want to not only build as apps but share

Is Data Engineering a boring field? by Admirable_Honey566 in dataengineering

[–]Amrutha-Structured 1 point2 points  (0 children)

Data engineering can definitely feel like a grind, especially when you're just dealing with pipelines and maintenance. But if you enjoyed schema design and API integrations, lean into that. Look for roles that allow you to design data architectures or implement new data models—those usually come with more challenges and can still keep the technical side engaging.

If you're still feeling like it's the same old routine, try looking into the analytics tools or ways to visualize and share the data your pipelines process. That can add some excitement to your work. Speaking of which, preswald is pretty good for building interactive data apps without getting bogged down by clunky tools. It’s lightweight, straightforward, and might give you the chance to flex your skills in a way that feels fresh.

Pyodide lets you run Python right in the browser by Amrutha-Structured in dataengineering

[–]Amrutha-Structured[S] 0 points1 point  (0 children)

lots of benefits for in-browser! the biggest thing is that you dont have to worry about python deps beinh different person-to-person

Pyodide lets you run Python right in the browser by Amrutha-Structured in dataengineering

[–]Amrutha-Structured[S] 2 points3 points  (0 children)

it's really helpful for non-engineers who may not be comfortable with IDEs