Data Engineering

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  • Advanced degree (Ph.D. preferred) in engineering, science, mathematics or related subjects
  • Expert knowledge of statistical programming languages such as R or Python, and SQL.
  • Readiness to work with engineering teams to develop prototypes of software products leveraging exploratory data analytics.
  • Expert knowledge of data visualization, using tools such as Tableau or PowerBI.
  • Expert knowledge of Experimental Design and Statistical Decision Theory.
  • Solid knowledge of distributed data storage and computing, including Hadoop or Cassandra.
  • Practical knowledge of cloud computing, including AWS (preferred) or Azure and highly scalable databases, such as Dynamo DB.
  • Knowledge of NoSQL databases, such as MongoDB.
  • Great communication skills in English.
  • 5+ years working and communicating with business stakeholders as a trusted adviser in data science.
  • 5+ years translating business requirements into data science problem statements and execution tasks.
  • In-depth understanding of the machine learning lifecycle.
  • Practical skills with agile software development methods such as Scrum and Kanban

  • Able to code in Scala.
  • Understanding ELT design, implementation and maintenance.
  • Able to communicate complex concepts clearly and accurately.
  • Willingness to learn new technologies, tools and approaches to problem-solving.
  • Responsible for own work and able to solve problems independently.
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