Machine Learning and Python Data Engineer

Tasks

• Complete development stories in Jira ;
  
• Participate in the development of ML solutions, as well as the use of industrialization ML tools (framework) ;
  
• Participate in the development of complex data ingestion solutions for geospatial data (3D image, point cloud, 360-degree image) ;
  
• Orient solution design around best practices for development and usage cases for data transformation, training, inference, monitoring, etc. ;
  
• Participate in daily treatment vigilance and correct bugs that may arise ;
  
• Understand and validate the needs expressed by the team and this, in close collaboration with analysts, technical leads, product owners (RPA) and/or users ;
  
• Evolving existing BI solutions by proposing evolutions, automations, or optimizations ;
  
• Write and update necessary documentation for understanding, development, operation, and maintenance of data solutions ;
  
• Serve as a company representative at specialized meetings in their field ;
  
• Perform functional analyst tasks when needed ;
  
• Serve as an animator and facilitator for various projects when needed.
  

• Minimum 6 years experience as a Data Engineer (Data Engineering) BIG Data
  
• Minimum 1 year practical experience with Python language
  
• Minimum 1 year practical experience in ML
  
• Experience in developing complex data ingestion solutions for massive data in Databricks
  
• Data modeling for structured and unstructured data
  
• Experience with real-time streaming (streaming)
  
• Practical experience with Databricks API
  
• Experience with Azure platform such as :
  

• Azure Devops
  
• AzureSQL
  

• Experience with MLFlow
  
• Experience with Spark
  
• Complete development stories in Jira
  
• Experience with Confluence
  

• Experience with complex data ingestion solutions for massive geospatial data (3D image, point cloud, 360-degree image) (specify experiences)
  
• Design, implement and maintain unit tests and quality assurance
  
• Knowledge in software architecture, design patterns in an analytical context
  
• Experience in creating reusable and robust artifacts (libraries or others)
  
• Serve as a consulting expert in the architecture of big data solutions, as well as tools (framework) for data transformation and ingestion
  
• Experience with IaC (Infrastructure as Code)
  
• Good mastery of setting up automation
  
• Perform functional analyst tasks
  
  Language : French