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Data Engineer

In a nutshell, a data engineer transforms data into a useful format for analysis. Data  engineers focus on the applications and harvesting of big data. 

They may be experts in:

  • System architecture
  • Programming
  • Database design and configuration
  • Interface and sensor configuration

More than any other professional working in data science, data engineers have to be hands-on with the tools of the trade such as: Hive, Hadoop, Spark, NoSQL, and other high-tech tools for data storage and manipulation 

Concepts of data architecture and pipeline design are even more important. They must have a solid conceptual understanding of:

  • Data models
  • Relational and non-relational database design
  • Information flow
  • Query execution and optimization
  • Comparative analysis of data stores
  • Logical operations
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