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.
[ETR Vol. 12] Solve Data Science Unemployment With 1 Email
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi 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 managers. But there is a type of connection who might help you even more than a job poster: An early career data (ideally between years 1-3) professional. Folks like me, who have a few years of industry experience but no hiring authority, often get bombarded with “recruiter spam”, broad messages sent to hundreds of candidates with the hope that a handful will respond. While it’s tempting to delete these messages, you’d be missing a crucial line: “Forward this to anyone you know who might be looking for a role.” As an added incentive, many of these cold messages include referral bonuses. When forwarding a connection to recruiters or when asking for a referral, remember:
If you're interested in going deeper, I cover this kind of referral advocacy more in-depth here. Just because you were lucky to break in doesn’t mean you should be a gatekeeper. If anything, you should be the first one to answer the door. Here are this week’s links:
And if you're looking to explore development in virtual environments, check out this week's story. Set Up A Virtual Environment In A Compute Engine VM In 5 Min. 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...
The Latest From Pipeline: Your Data Engineering Resource Hi past, present or future data professional! One of the worst habits you can adapt in data engineering is to accept a tool or technology as a black box you’ll simply never understand. For me, for the longest time, this was virtual machines. I would commit and troubleshoot code that would run within a VM but never quite knew how to interact with it. Recently, I provisioned a Google Cloud Compute Engine instance for a junior teammate and...