What You Will Be Doing

  • Imagining, architecting, developing and maintaining data flow/storage/data lake of CluePoints’ SaaS application
  • Working closely with the following team members: Product Owner, Tech Lead, Developers, DevOps, etc.
  • Proposing technological evolutions to make our data architecture even more scalable and modern

What You Need for this Position

  • Master’s degree (or equivalent) in Computer Science/Software Engineering
  • Minimum 5 years of professional experience in data engineering
  • Proven ability to design, develop, and maintain databases/data warehouses/data lakes and data pipelines/ETL for large data sets and interact with various sources
  • Mastering big data technologies (Hadoop, MapReduce, etc.)
  • Experience working with varied forms of data infrastructure inclusive of SQL and noSQL databases such asMySQL, MongoDB & Redis
  • Work experience with different data formats (e.g., XML, XSLT/XPath, JSON, CSV) and interact with various data sources as well as RESTful APIs
  • Knowledge of clinical data standards like ODM (Medidata, Rave, Omnicomm) is a plus
  • Good knowledge of data modeling best practices
  • Experience in OO programming languages like Python
  • Good in at least one of the following: Street Fighter, FIFA, Kicker (foosball) or Darts
  • A constant desire to improve, to learn more and take things to the next level!

Our Stack

  • Python
  • Angular
  • Pyramid/Flask
  • MySQL, MongoDB, Redis
  • Docker
  • Gitlab
  • Ansible
  • Azure
  • Kubernetes
  • JavaScript
  • TypeScript
  • Rx.js
  • RabbitMQ

Tagged as: asdc

Source:

Job Overview
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