Teaching Data Engineers - Jeff Katz

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

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html