Podcast
Foundations of Analytics Engineer Role: Skills, Scope, and Modern Practices
Open original DataTalks.Club episode
Foundations of Analytics Engineer Role: Skills, Scope, and Modern Practices
Original Episode
Use these links for the canonical episode and media sources.
- Open the original DataTalks.Club podcast page
- Watch on YouTube
- Listen on Spotify
- Listen on Apple Podcasts
People
Use these links to connect the episode to guest notes.
Chapter Summary
Use these checkpoints to decide whether to open the source transcript.
- 0:00 - Juan’s psychological research and transition to data
- 4:33 - Riding the wave: The early days of analytics engineering
- 7:56 - Breaking down the gap between analysts and engineers
- 11:03 - The art of turning business reality into clean data
- 16:25 - Why data engineering is about safety, not just speed
- 20:21 - Reimagining data modeling in the modern era
- 26:53 - To split or not to split: Finding the right team roles
- 30:35 - Python, SQL, and the technical toolkit for success
- 38:41 - How to stop manually testing your data dashboards
- 46:34 - Bringing software engineering rigor to data workflows
- 49:50 - Must-read books and resources for mastering the craft
- 55:42 - The future of dbt and the shifting tool landscape
- 1:00:29 - Deciphering the lakehouse: Warehousing in the cloud
- 1:11:16 - Pro-tips for starting your data engineering journey
- 1:14:40 - The big debate: Databricks vs. Snowflake
- 1:18:28 - Why every data professional needs a local community