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Thursday wordle 467 3/6
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League of Legends or Dota?
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Does anybody have any advice when applying to postings with many applicants and getting noticed? The company I am interested in is Figma, and though I reached out to a few technical recruiters after applying through LinkedIn, I am wondering if there might be something more I could do that maybe I’m not thinking about. Also along those lines, if anybody here works for figma I would love the chance to connect
Need help from Amazon 🐠 Anyone interviewed for Amazon L5 BIE in GSF supply chain team? The JD said basic qualifications include data modeling, ETL, data warehousing and optimization. Any idea or experience how they will test these topics? Asking about related experience? Or show some data and ask how you will deal with that? Or like a case study, given a senario and ask how you think in order to tackle problem? Need advice/idea/experience urgently. Thanks in advance.Amazon @BIE
Anyone in PWC London Digital & Cloud COE?
How do companies now view candidates from Meta?
Hi Everyone,
I just received an offer to work as an software sales representative (SDR) for IBMs Z systems. I'm coming as a sales engineer in the cloud security space. Can anyone advise me on whether Z systems are something worth going into? Also what do the growth opportunities look like at IBM? Is there opportunity for lateral movement onto other teams? Not too sure how I feel about working on mainframes (Z systems) but they keep pitching hybrid cloud to me. IBM
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I'd start by doing some online courses or bootcamps. My top two recommendations are Udemy and Coursera. Developing critical Data Engineer skills on your own time will make the transition smoother.
You're going to have to learn how codet since instead of extracting data for information, you'll be developing the algorithms/systems that contain information. Python's a pretty good language to start in.
Google offers a professional data engineer certification and helps build you a portfolio of projects on GCP.
I’d focus on building domain knowledge of cloud, and then the tools required to build robust data pipelines. And then probably some ML / analytics and expertise for how to consume that data, using aforementioned platforms and tools.
I’m a DS and getting cloud experience, and knowledge of the surrounding tech real estate (GCP, MLOps) landed me a 20% then a 75% pay rise across two job hops this last 12 months. This data field feels like buzz word bingo, provided you can communicate and demonstrate the constituent ideas and concepts.