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Data jobs are hot, says Kevin Casey, noting that a recent search for data scientist positions on LinkedIn in the U.S. generated more than 150,000 open positions, and a search for data engineer jobs produced nearly 230,000 results.
But, he asks, “what’s the difference between these different titles? What skills does someone need to gain one of those positions?” In this article, Casey examines the distinct roles of data analyst, data scientist, and data engineer.
Read more at The New Stack.
Dit bericht verscheen eerder bij FOSSlife