Reaching 20k+ readers on Medium and nearly 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
[ETR Vol. 10] Ready For School (Or Your Next Cert)?
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present or future data professional! For many, perhaps even yourself, it’s the most dreaded time of the year: Back to school. While data engineering doesn’t require “supplies”, it can be helpful to pick up a book or two. Aside from getting industry context, your latest data read can provide a helpful talking point in interviews or even impress in casual discussion. Though not quite a textbook, I highly recommend the book that opened my mind to the power and influence of data: Mindf*ck Cambridge Analytica And The Plot To Break America by fashion designer-turned data scientist Christopher Wiley. One of the most valuable lessons you can learn as a student is identifying what you won’t be taught. Despite its universality in data-driven orgs, SQL is under-taught in institutionalized data science curricula. Determining which skills you’ll have to learn on your own can help you prioritize your upskilling and even get you through the class from hell. And if you aren’t currently in school, picking the right certification can advance your career, while the wrong choice can lead to a cluttered LinkedIn profile—and mind. For those compiling a digital supply list, here are this week’s links as plain text:
Thanks for ingesting, -Zach |
Extract. Transform. Read.
Reaching 20k+ readers on Medium and nearly 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! After choosing a dataset, one of the most significant decisions you must make when creating displayable work is: How am I going to build this thing? For some, you may try to “vibe code” along with an LLM doing the grunt technical work. If you choose this approach, be warned: Nearly half of all “vibe code” generated contains security vulnerabilities and that’s before you even consider its...
Extract. Transform. Read. A newsletter from PipelineToDE Amid layoff announcements from Meta, Amazon and even UPS, it's job aggregator Indeed that signals a different concern for entry-level data job seekers. This week a post on Blind revealed Indeed’s plan to quietly reduce junior roles. They’re not necessarily going to stop hiring or layoff juniors (though they are losing 1300 employees by end of year)—they’re just going to stop paying attention to them. Specifically, Indeed will no longer...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! I want to share the single most important realization I had back in the summer of 2021. I was burned out, juggling two part-time jobs, trying to plan a wedding, and drowning in full-time job applications. I felt overwhelmed and underprepared as I plunged into a sea of candidates I perceived to be more intelligent and better "fits" than me. My portfolio was full of the usual Titanic, Iris,...