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IT > Data Engineer
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Data Engineer

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Data Engineers typically work for corporations in various industries to help them manage and store important data regarding company operations. They work closely with other data professionals and members of the information technology department to design and implement these systems across departments. Their job is to use their knowledge of different programming languages to code and update data systems. They may also be responsible for implementing cybersecurity
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A Data Engineer, or Data Systems Engineer, is responsible for developing and maintaining data processing software like databases. Their duties include coordinating with company Executives and other professionals to create unique data infrastructure, running tests on their designs to isolate errors and updating systems to accommodate changes in company needs.
책임
Data Engineer은 다양한 업무 및 책임을 이행할 수 있어야 합니다. 다음은 Data Engineer이 실행할 수 있어야 하는 몇 가지 업무 및 책임입니다.
  • Assembling large, complex sets of data that meet non-functional and functional business requirements
  • Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
  • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
  • Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
필수 기술
경쟁력 있는 Data Engineer은 다음을 포함한 특정 기술과 자격을 갖추고 있습니다.
  • Ability to build and optimize data sets, ‘big data’ data pipelines and architectures
  • Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
  • Excellent analytic skills associated with working on unstructured datasets
  • Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
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