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 Hi past, present or future data professional! When you apply to data analysis, data engineering or data science jobs, you likely consider factors like company name, culture and compensation. Caught up in the excitement of a fresh opportunity or compelling offer you’re neglecting an important part of your day-to-day reality in a new role: What stage of data maturity the organization is in. If you’re looking for experience building something...
Extract. Transform. Read. A newsletter from Pipeline Sponsored by Basejump AI. Don't just query your data; chat with it. Learn more. Hi past, present or future data professional! If you’re a hybrid or remote worker (or online student) you know the FOMO that sets in when you leave your desk and something at work needs your immediate attention. Even though data engineering is a role that can be done from anywhere, having to open, set up and position a laptop isn’t ideal in all situations like...
Extract. Transform. Read. A newsletter from Pipeline: Your Data Engineering Resource Presented by Basejump AI Use natural language prompts to chat with your database in Basejump’s intuitive interface, or embed it directly in your application. Book your demo here. Hi past, present or future data professional! One thing that makes my work day easier is when I’m Google-ing (as all software developers do) a problem and I come across the holy grail of solutions: A one-line implementation. Like...