Data Engineer

Data engineers are tasked with managing and organizing data, while also keeping an eye out for trends or inconsistencies that will impact business goals. It’s a highly technical position, requiring experience and skills in areas like programming, mathematics and computer science. But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Some of the most common responsibilities for a data engineer include:

  • Develop, construct, test and maintain architectures
  • Align architecture with business requirements
  • Data acquisition
  • Develop data set processes
  • Use programming language and tools
  • Identify ways to improve data reliability, efficiency and quality
  • Conduct research for industry and business questions
  • Use large data sets to address business issues
  • Deploy sophisticated analytics programs, machine learning and statistical methods
  • Prepare data for predictive and prescriptive modeling
  • Find hidden patterns using data
  • Use data to discover tasks that can be automated
  • Deliver updates to stakeholders based on analytics

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