The Data Stack Show
The Data Stack Show
207: Why Niche Data Tools Fail, Broken Hiring Processes, and the GUI vs. Command Line Showdown with The Cynical Data Guy
0:00
-27:12

207: Why Niche Data Tools Fail, Broken Hiring Processes, and the GUI vs. Command Line Showdown with The Cynical Data Guy

This week on The Data Stack Show, it’s another edition of the Cynical Data Guy as Eric and John welcome back Matthew Kelliher-Gibson. This round, the group chats about the multifaceted challenges in data work. The discussion features a series of lightning round topics where LinkedIn posts spark debates on data quality, job titles, version control, and hiring processes. Matt critiques the consolidation trend in the data industry, the superficiality of job titles, and the inefficiencies in hiring practices. The episode offers listeners a blend of technical, business, and human insights, emphasizing the importance of clear communication and defined processes in the data field, and so much more! 

Highlights from this week’s conversation include:

  • Welcome to another episode of the Cynical Data Guys (0:24)

  • Post on Short Sellers in Data (1:36)

  • Investment Areas in Data (4:04)

  • Teaching Git with GUI (9:00)

  • Understanding Data Scientist Roles (12:25)

  • Interview Process Critique (15:39)

  • Hiring Process Challenges (19:19)

  • Defining Team Fit (21:05)

  • Effective Hiring Framework (23:05)

  • Cynical Take on Trust Issues (25:02)

  • Final Thoughts and Takeaways (26:05)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Discussion about this podcast

The Data Stack Show
The Data Stack Show
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.