Data Environment Proficiency
Different data environments are essential for a data professional. These include Data Lakes, Synapse, Delta Lakes, and Snowflake.
Programming Languages
Proficiency in programming languages is a key skill. The languages of focus should be Python, Java, and Scala.
Data Modelling and Database Design
It is crucial to have a sound knowledge of data modelling and database design principles. This knowledge plays a significant role in data warehousing and data visualisation tools.
Attention to Detail
Attention to detail is paramount in the data field. It ensures accuracy and reliability in all aspects of data management and analysis.
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