Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present or future data professional! I bet when you think of data engineering tools, you don’t think of smiley faces. But emojis, when used properly (and sparingly), can be a powerful way to emphasize logging messages and highlight infrastructure failures. Failing in data engineering can make you :sad_face:. Professionally, I’ve made every code mistake imaginable, with the highlight being omitting a column and needing to process a 45 TB table—twice! Even as I gain experience, I still make (but recover from) plenty of mistakes, which I document on a yearly basis. Since we’re a little more than halfway through the year, I’d encourage you to use this framework to honestly assess both your technical and interpersonal shortcomings as an aspiring data engineer. Proactively identifying areas of improvement is growth—and areas for improvement will pay more dividends than cramming in upskilling sessions. It might even make you :smiling_face: Here are this weeks un-embedded links:
P.S. – there’s a fun announcement coming in next week’s email. Thanks for ingesting, -Zach |
Top data engineering writer on Medium & Senior Data Engineer in media; I use my skills as a former journalist to demystify data science/programming concepts so beginners to professionals can target, land and excel in data-driven roles.
Extract. Transform. Read. A newsletter from Pipeline: Your Data Engineering Resource Hi past, present or future data professional! Somewhere along your professional development journey someone lied to you. They told you to crank out resumes because no one reads cover letters. This couldn’t be further from the truth as 87% of hiring managers read cover letters. Such a high read rate represents a compelling opportunity to sell your data skills and showcase a bit of personality. The problem?...
The Latest From Pipeline: Your Data Engineering Resource Hi past, present or future data professional! I hope you’ll indulge my sharing of an important career milestone; unfortunately, I’m not retiring with a gold Rolex snug on my wrist. Instead, this week marks 3 years in data engineering. I’m excited about this work-iversary because it marks a period of time in which I’ve been working in data engineering longer than my prior non-data job. If you’ve read my work you know I’ve taken an...
Extract. Transform. Read. A newsletter from Pipeline: Your Data Engineering Resource Hi past, present or future data professional! Browsing through files recently, I found 100+ old resumes I used to apply for data jobs in 2021. While data science is sold as a “good career”, the truth is it’s always been tough to break in. Those looking for jobs need to do more than ever to distinguish themselves. For anyone looking for a job you may have been taught to network with recruiters and hiring...