Senior Data Engineer - Full remote

This is a remote position.

• Plan the activites and concrete milestones to deliver the new Cloud Data Platform Architecture;
  
• Lead the development and technical implementation aligned to the  Data Platform Architecture;
  
• Provide expertise and technical advice in the development of conceptual, logical and physical data models, in support of interoperability protocols, API design and management, cybersecurity aspects and business intelligence;
  
• Create the data factory pipelines to ingest data, apply data transformations to curate data using databricks, and make data available for downstream applications (API) or reporting from SQL database, Cosmos DB or Synapse Analytics;
  
• Automation and development lifecycle control by development of rbooks, fctions, devops projects, sync to repos, ARM templates and Azure Blueprints;
  
• Working with the Senior Solution Engineer derstand and catalogue the current landscape of Data and systems;
  
• Develop and maintain the to-be Cloud Data Platform with the required capabilities in conformance with security requirements, agreements-based, with user-driven configuration and through documented design and configuration;
  
• Provide technical expertise regarding short terms solution options to leverage in the immediate future to meet urgent data related demands, with consideration of the organization’s wider needs and the potential of deploying enterprise data solution platforms at the enterprise level;
  
• Provide data insights and best practices, ensuring they are reflected in the development;
  

• Bachelor or Master degree;
  
• +5 years of relevant experience as Data Engineer;
  
• Experience with modern Data technologies such as Business Intelligence, Analytics, AI, and Big Data;
  
• Experience programming multiple languages, e.g. Phyton, R, Java, Scala, etc; Professional level vendor certifications, such as Microsoft, ITIL, and others;
  
• Extensive experience with Microsoft Azure and other cloud technologies and interoperable solutions,experience as a data analyst, engineer and developer;
  
• Demonstrated experience in the design, development, and implementation of various integrations between diverse infrastructure services, data models and architecture;
  
• Demonstrated experience with the IT systems development life cycle (SDLC), as well as Agile/Scrum methodologies and ITIL processes;
  
• Ability to conduct requirements gathering, interpret needs, and design solutions and manage expectations;
  
• Professional experience in technical design and support of global, distributed corporate information systems;
  
• Understanding state of Azure, Google and AWS components and reference architectures;