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Tools qualifications:
  • Experience with relational SQL and NoSQL databases
  • Experience with data pipeline and workflow management tools.
  • Preferred experience with AWS cloud services
Preferred experience with object-oriented and function scripting languages: Java, Scala, Python or similar
  • Advanced working SQL experience; query authoring and tuning with a variety of databases.
  • Experience building and optimizing reliable data pipelines, data architectures and composing data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from various disparate datasets, to make them interoperable
  • Working knowledge of message queuing, stream processing, and data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • 5+ years of experience in a Data Engineering role, with a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

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Last updated on May 6, 2022

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