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.
Break Into Data Science In 12 Minutes
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present and future data professional! 20 minutes of reading could save you 6 months of rejection and application fatigue. Break into data science in 12 minutes outlines a concrete, evidence-based plan to create a compelling resume specific to your data role and industry, avoid cringe-worthy networking and choose a job you’ll still want to work at after a year. This is the continuation and conclusion of last week's 3+ Years Of Data Science Advice In 10 Minutes (Part I). Together, they are a 20-minute must-read. To excel as a data engineer beyond your interview, you’ll want to make sure you watch your mouth and work to write and speak precisely to build credibility in your first quarter and beyond. But, luckily, this doesn’t mean you need to know everything; to reduce your development blockers you’ll want to use every resource at your disposal–including the world’s most popular search engine. Data engineering isn’t always about leveraging the newest tools; often, it’s more important to use reliable tools effectively, whether that’s vocabulary, a search engine or even the ultimate ol’ reliable of data: A spreadsheet. If you're like me and skeptical of embedded links, here are this edition's stories in list form:
Thanks for ingesting, -Zach |
Pipeline To DE
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...