<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: georgoulis</title>
    <description>The latest articles on DEV Community by georgoulis (@georgoulis).</description>
    <link>https://dev.to/georgoulis</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F456846%2F7bf35f61-0ce0-4d00-8bec-56960e1f6d64.png</url>
      <title>DEV Community: georgoulis</title>
      <link>https://dev.to/georgoulis</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/georgoulis"/>
    <language>en</language>
    <item>
      <title>What kind of Data Team should I join?</title>
      <dc:creator>georgoulis</dc:creator>
      <pubDate>Sat, 04 Jan 2025 20:25:02 +0000</pubDate>
      <link>https://dev.to/georgoulis/what-kind-of-data-team-should-i-join-1e4l</link>
      <guid>https://dev.to/georgoulis/what-kind-of-data-team-should-i-join-1e4l</guid>
      <description>&lt;p&gt;When I landed my first job in Data, I didn’t actively choose the type of team or their technical expertise. I was already an internal employee, and I simply trusted the people around me while having the confidence that I could succeed. I’ve written about this experience in a previous blog post.&lt;/p&gt;

&lt;p&gt;Now, after years in the industry and having held a variety of roles, I can say that there are distinct options available, each with its own pros and cons. While I encourage people to experiment with different roles and environments, I also recognize that not every role suits every individual. Before landing your first job—or taking the leap into a new role—it’s essential to understand your options and determine what fits you best.&lt;/p&gt;

&lt;p&gt;From my perspective, the three primary paths for a data professional are consulting, internal teams, and product. Each comes with unique characteristics, but could be compared against five specific dimensions: technical expertise, ownership, communication, speed, and metrics of success.&lt;/p&gt;

&lt;p&gt;read full article on: &lt;a href="https://georgoulis.tech/what-kind-of-data-team-should-i-join" rel="noopener noreferrer"&gt;georgoulis.tech&lt;/a&gt;&lt;/p&gt;

</description>
      <category>dataengineering</category>
      <category>datascience</category>
      <category>data</category>
    </item>
  </channel>
</rss>
