Passende Schulungen
finden Sie hier:
↪ DP-090 Implementing a Machine Learning Solution with Microsoft Azure Databricks (DP-090T00)
↪ Python und Machine Learning
↪ MOC 40562 Microsoft Cloud Workshop: Migrating SQL databases to Azure
↪ Text Mining und Machine Learning mit Python
↪ MOC 40561 Microsoft Cloud Workshop: Machine Learning

Data Engineer (m/f/d) Computer Vision/Machine Learning, Python, Azure #7896

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Dieses Projekt wurde bereits erfolgreich vermittelt!
Projektbeginn: 12.04.2021
Abrechnung nach: nach Vereinbarung
Nebenkosten abrechenbar: Nein
Projektvolumen: keine Angabe

  • expertise in building distributed data processing systems, machine learning model lifecycle and automation coupled
  • good knowledge of Azure ecosystem
  • proven record developing Python - SQL and Spark are a plus
  • good experience in data structure and algorithm; good knowledge in Terraform and Databricks is a plus
  • deep knowledge of machine learning algorithms and techniques and strong software engineering fundamentals
  • developing a production quality code, writing understandable documentation are mandatory

Ihre Aufgaben

The customer unit is a multinational team of advanced analytics and artificial intelligence experts as well as data venture managers and UX specialists. Their mission is to create the right conditions for the most promising new technologies and new data-driven business models to develop and, eventually, hatch. The team is responsible for identifying most promising venture ideas, prioritizing them according their impact potential, giving them the space and resources to thrive.

  • your responsibility is to develop and productionize end-to-end high-performing Date engineering solutions that goes beyond building Data pipelines (Extract, Transform and Load data ), working with unstructured and structured data in Batch and stream mode
  • ou will get the opportunity to building machine learning pipelines aligned to business needs
  • as a pragmatic Data Engineer you will push the boundaries by introducing new technologies and development principles
  • you will partner and collaborate in a cross-functional team of data scientists and system engineers
  • as a team member you use Data Architecture principles to better build the next generation energy solutions – in this case focusing on solar energy potential and computer vision modelling
  • the given project is set to establish a blueprint architecture for scalable ML & computer vision product at the customer, built on Azure


Cegeka Deutschland GmbH
Mark Körber
Martin-Behaim-Straße 22
63263 Neu-Isenburg
Tel. +49 6102 8235 831
Fax +49 6102 8235 789

Kenntnisse & Fähigkeiten
Machine Learning
Microsoft Azure
SQL Azure