Data Machine Learning Engineer

Veszprém, HungaryR&D, Software Engineering
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MetaDefender Cloud is one of the leading online security tools. Mostly built using Javascript, the platform offers static file analysis and insight on today’s hottest malware, IP and domain intelligence as well as threat intelligence and reports on the state of cybersecurity. You will be working with a young, hard-working and dedicated team of professionals with one mission: building what will become the #1 cloud security platform in the world. If growth and challenge is what you are looking for, our millions of users, terabytes of data and 99.99% uptime are sure to always keep you busy. 

What you will be doing

  • Maintain and evolve ETL service
  • Maintain and evolve data lake and data warehouse
  • Build a new emerging data-heavy cybersecurity product (threat intelligence framework)

What we need from you

  • 2+ years of experience with running and maintaining data warehouse systems (e.g., Elasticsearch, Hive, Spark, Hadoop)
  • Good understanding of RESTful web services
  • Experience with both NoSQL and in-memory databases (MongoDB, Redis)
  • Comfortable with bash, Linux and Docker
  • Familiarity with Git and branching models
  • Experience with AWS or GCP deployment management
  • Previous work on live production environments with high traffic
  • Own the full lifecycle of feature development from design through testing and release
  • Good communication skills
  • Familiar with infrastructure management concepts and ecosystem
  • Strong with at least one programming languages
  • Strong technical aptitude

Nice to have

  • Familiarity configuring & using CI / CD
  • Previous scripting language experience (Python is a plus)

What we offer

  • Stable, growing international company background with an exceptional customer group
  • Opportunity to improve your professional skills
  • The newest technology environment
  • Attractive working environment – a nice office full of accessories for active recreation, sport and language classes, team events, fruits, coffee, tea, etc
  • Cafeteria
  • Occasional remote work possibility
Interested in this position?