Evolving Roles in Data Engineering

20min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

This chapter delves into the misconceptions between data engineers and analytics engineers, underscoring the necessity for specialization amid the complex data landscape. It examines the emergence of analytics engineering in response to contemporary challenges, along with the organizational dynamics that influence analytics roles across departments. The chapter also highlights the shift from traditional ETL to ELT processes, showcasing how advancements in technology are reshaping data management and analytics practices.

We're seeing the title "Analytics Engineer" continue to rise, and it’s in large part due to individuals realizing that there's a name for the type of work they've found themselves doing more and more. In today's landscape, there's truly a need for someone with some Data Engineering chops with an eye towards business use cases. We were fortunate to have the one of the co-authors of The Fundamentals of Analytics Engineering, Dumky de Wilde, join us to discuss the ins and outs of this popular role! Listen in to hear more about the skills and responsibilities of this role, some fun analogies to help explain to your grandma what AE's do, and even tips for individuals in this role for how they can communicate the value and impact of their work to senior leadership! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.