We talked about:

• Ellen’s background
• Why Ellen switched from data science to data engineering
• The overlap between data science and data engineering
• Skills to learn and improve for data engineering
• Ways to pick up and improve skills (advice for making the transition)
• What makes a data engineering course “good”
• Languages to know for data engineering
• The easiest part of transitioning into data engineering
• The hardest part of transitioning into data engineering
• Common data engineering team distributions
• People who are both data scientists and data engineers
• Pet projects and other ways to pick up development skills
• Dealing with cloud processing costs (alerts, billing reports, trial periods)
• Advice for getting into entry level positions
• Which cloud platform should data engineers learn?

Links:

• Twitter: https://twitter.com/ellen_koenig
• LinkedIn: https://www.linkedin.com/in/ellenkoenig/
  

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

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