Data engineers rely heavily on programming languages like Python, Java, or Scala. Women transitioning from data analysis should focus on enhancing their coding skills, particularly in Python, since it's widely used for data engineering tasks. Learning automation and scripting can help bridge the gap between analysis and engineering.
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