Extract. Transform. Read.A newsletter from Pipeline Hi past, present or future data professional! A peer of mine once revealed the reason they were sleep deprived: They were up past midnight writing ad hoc SQL queries with a c-suite leader literally hovering over their shoulder. The visibility of data analysts (like the one in the anecdote) and data scientists’ products, dashboards and ML models, means they are often the first on a Business Intelligence team to be bothered when something “looks weird.” This deference to the other more visible data teams shouldn’t stop you, the ambitious engineer, from taking on an important but unofficial role: SME, a.k.a. Subject Matter Expert. Being able to not only tell a stakeholder when a data source loaded (or didn’t) but also being the go-to person for questions, vendor outreach and general support, makes you an invaluable resource that goes beyond your job title and ability to “crank out code.” In a bumpy job market, this is key to cementing yourself as a must-retain staff member. To be a true SME you need to not only know your data, but also understand the larger business context which your work contributes to, which typically breaks down into: Resource conservation, performance optimization and revenue generation. For a working data engineer, going from DE to SME involves stepping outside of your comfort zone by:
If you’re not currently working in a data engineering role or are still in the job search phase, you can be an SME by narrowing your search to focus on industries or “domains” in which you have proven experience. For more information on how to apply that experience, read this guide. Anticipating business and stakeholder needs means less late nights and, more importantly, a little breathing room. Thanks for ingesting, -Zach Quinn |
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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,...