July 10, 2022, 8 p.m. | Tobias Macey

Data Engineering Podcast www.dataengineeringpodcast.com

Summary


Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows. In order to make this a tractable problem it is essential that engineers embrace automation at every opportunity. In this episode Chris Riccomini shares his experiences building and scaling data operations at …

automation data data engineers engineers

More from www.dataengineeringpodcast.com / Data Engineering Podcast

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Staff Software Engineer, Generative AI, Google Cloud AI

@ Google | Mountain View, CA, USA; Sunnyvale, CA, USA

Expert Data Sciences

@ Gainwell Technologies | Any city, CO, US, 99999