DataTalks.Club

Teaching Data Engineers - Jeff Katz

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We talked about:

  • Jeff’s background
  • Getting feedback to become a better teacher
  • Going from engineering to teaching
  • Jeff on becoming a curriculum writer
  • Creating a curriculum that reinforces learning
  • Jeff on starting his own data engineering bootcamp
  • Shifting from teaching ML and data science to teaching data engineering
  • Making sure that students get hired
  • Screening bootcamp applicants
  • Knowing when it’s time to apply for jobs
  • The curriculum of JigsawLabs.io
  • The market demand of Spark, Kafka, and Kubernetes (or lack thereof)
  • Advice for data analysts that want to move into data engineering
  • The market demand of ETL/ELT and DBT (or lack thereof)
  • The importance of Python, SQL, and data modeling for data engineering roles
  • Interview expectations
  • How to get started in teaching
  • The challenges of being a one-person company
  • Teaching fundamentals vs the “shiny new stuff”
  • JigsawLabs.io
  • Finding Jeff online


    • Links: 

    • Jigsaw Labs: https://www.jigsawlabs.io/free
    • Teaching my mom to code: https://www.youtube.com/watch?v=OfWwfTXGjBM
    • Getting a Data Engineering Job Webinar with Jeff Katz: https://www.eventbrite.de/e/getting-a-data-engineering-job-tickets-310270877547


      • MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp

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