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Capgemini Engineering — вакансия в Senior Data Engineer #7098
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Senior Data Engineer #7098

Capgemini Engineering
3 года назад
17 июля 2020
Одесса

Purpose of the job:

Our customer takes the leading position in advanced data analytics and engineering expertise. Therefore, it is a huge infrastructure with a lot of niches for engineering and development. As a part of the team, a candidate's mission is an investigation of the existing analytic platform, based on Python, Apache Spark and AWS Cloud services, as well as update and support it in a long-term perspective.

 

MAIN TASKS AND RESPONSIBILITIES:

  • Take part in requirements analyzes
  • Identify and encourage areas for growth and improvement within the team
  • Interact with customer and provide technical solutions
  • Work with engineering, data science and product management teams to build and manage a wide variety of data sets
  • Identify gaps and build the tools to increase the speed of analysis
  • Implement new features
  • Update and support an existing functionality
  • Conduct code reviews
  • Drive features from conception to deployment in an agile team with continual delivery
  • Provide support to QA and other teams
  • Be technical mentor for less experienced team members

 

EDUCATION, SKILLS AND EXPERIENCE:

MUST HAVE:

  • 5+ years of experience in developing software at scale
  • 3+ years of Python commercial development experience
  • Mathematical and statics skills
  • Experience with Apache Spark (pyspark)
  • Strong experience with Pandas library
  • Strong experience with scientific tools (numpy, scipy)
  • Strong experience with relational database
  • Experience with data visualization
  • Unit testing experience
  • Think at scale, and with high availability
  • Can work with cross-team members on large and complex projects
  • Can breakdown a complex situation and come up with an elegant solution
  • Sufficient English level for communication (verbal & written)
  • Fast research and learning skills

 

WOULD BE A PLUS:

  • Technical University degree
  • Knowledge of ML algorithms
  • Experience with AWS services like EC2, S3, EMR, etc.
  • Experience with Mesos or Kubernetes.
  • Experience with Docker.
  • Experience with R

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