Data engineer

Megjelenés dátuma: 2022. április 29.

Azonosító: 10838 Helyszín: Budapest Munkakör: Big Data fejlesztő

Our partners are leading providers of technology solutions to the travel industry.
They are looking for a Medior/Senior Data engineer with excellent English skills.

Tasks

  • You will
  • – Be working closely with our Engineering team and the partners who provide data sets
  • – Collaborate closely with the Data team to ensure all team outputs follow coding best practice
  • – Take a consultative approach to anticipate stakeholder needs, and ensure delivery of high-quality production ready Data Science code for use within our platform
  • Key Accountabilities include
  • – Responsible for working with Data team to improve our platform to better incorporate complex Data Science models
  • – Responsible for working with Engineering to improve Data Science build efficiency while maintaining high quality of output
  • – Provide technical leadership to other Data Engineers and the wider Engineering team
  • – Work with other Data Engineers to expand the teams knowledge

Requirements

  • At least 2+ years experience as a Data engineer
  • A passion for developing new solutions and challenging the status quo, with an interest in new emerging technologies and the potential in data
  • Proven commercial experience as a Software Developer – working on the development of back-end solutions with AWS, especially on data-driven systems
  • Expert knowledge of Core Java
  • Experience with Spark or Hadoop
  • Experience with running Data Science models in a distributed processing architecture
  • Experience with ETL across large data sets
  • Understanding of how to process large amounts of data considering memory usage across the JVM
  • Knowledge of AWS infrastructure
  • Understanding of distributed processing
  • Experience with Agile methodologies
  • Experience in GIT
  • Proficiency in English

Advantages

  • Experience with IDEs such as IntelliJ, Eclipse or similar
  • Experience with Scala
  • Experience with Python
  • Experience with Databricks platform
  • Experience with data annotation and labeling work for supervised machine learning
  • Understands how to build robust social media data queries using appropriate and efficient syntax
  • Experience mentoring junior developers
  • Strong SQL skills

What they offer

  • Exciting Clients and Projects
  • Career Development
  • Working environment – flexi-time, home office, unlimited leave, work socials and events
  • Competitive package – competitive salary, healthcare plan, cafeteria, and other perks
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