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Anyone in tech leadership knows that data engineering and data science are both extremely in-demand skillsets. So there are two options: go through the difficult and time-consuming process of hiring data engineers away from other firms, or taking talented and interested engineers that are already in-house and training them.
I’m working on the second option, which is exciting because it means I get to dive into these technologies myself.
Critical Skills
Whenever you want to train people in something new, you want to pay close attention to the 80/20 rule. The team will make 80% of possible progress by focusing on the most critical 20% of skills.
Conceptual Training:
It’s always easier to learn something new when you get the concepts right. Thankfully Robert Chang — a Data Engineer at AirBnB put together a fantastic set of 3 posts to go over all the key concepts. The Engineers will read all of them, and we’ll set up discussion groups to talk about how these technologies impact business:
