Data Engineenier-Cloud, Machine Learning (m/f/d)

Vertragsart:
Vor Ort
Start:
asap
Dauer:
4 MM
Von:
Ort:
remote
Eingestellt:
07.08.2021
Land:
flag_no Deutschland
Ansprechpartner:
Hays AG
Projekt-ID:
2180060

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Data Engineenier-Cloud, Machine Learning (m/f/d)

Reference: -en
Start: asap
Duration: 4 MM

Main tasks:
  • You partner and collaborate in a cross-functional team of data scientists and system engineers
  • You apply data architecture principles as a team player to build better the next generation of energy solutions
  • You develop and productionize end-to-end high-performing Date engineering solutions that goes beyond building Data pipelines (Extract, Transform and Load data) and wrangling unstructured and structured data in Batch and stream mode
  • You work closely with business units & engineering teams to design and develop long term platform architecture
  • You are responsible for supporting and working with cross-functional teams in a dynamic environment
  • You remain up to date with industry standards and technological advancements that will improve the quality of your outputs 
  • You get the opportunity to build machine learning pipelines aligned to business needs 
  • You push the boundaries by introducing new technologies and development principles


Main qualifications
  • Expertise in building distributed data processing systems, designing machine learning model lifecycle and automation coupled with a good knowledge of Azure ecosystem is your key to success
  • Teamplayer, flexible, quick learner


Main advantages:
  • Remote



About us:
IT specialists hold all the cards: for its customers in industry and the public sector, Hays is looking for motivated employees who like looking at the bigger picture and growing with new challenges. We make sure that you benefit from our many years of experience in IT recruitment and will find you the right role to suit your skills and interests – all completely free of charge to you. Register with us and reap the benefits of job offers that are both interesting and relevant to your skills and experience.

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