Senior Cloud & Data Analytics Engineer

Senior Cloud & Data Analytics Engineer (Direct Hire)

Traverse City, MI based100% remote within Eastern or Central Time Zones
Job Requisition: 6440

Senior Cloud & Data Analytics Engineer:
Medical device company seeking Data Analytics and Cloud Engineer to work closely with Agile team to build, deploy, and maintain a transformative cloud based infrastructure.  Will generate insights from customer’s data to advance the data-driven decision-making capabilities.  Must understand cloud computing services and infrastructure, architecture, data engineering, data analysis, data visualization, and have a basic understanding of data science techniques and workflows. 
 
Responsibilities for Senior Cloud & Data Analytics Engineer:
  • Develop cloud computing and infrastructure solutions in the data and analytics space, with focus on Microsoft Azure, DevOps, and .net framework 
  • Oversee CI/CD processes for sustainable and efficient deployment of code
  • Install and maintain cloud-based applications, systems, or infrastructures in the data and analytics space.
  • Generate insight from customer data to enable customers to advance the data-driven decision-making capabilities.
  • Develop solutions supporting the movement of data and information assets.  
  • Cultivate a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
  • Monitor system uptime and performance, troubleshooting and resolving errors. 
  •  Adopt best practices to ensure security, privacy and compliance for all data assets.
 
Requirements for Senior Cloud & Data Analytics Engineer:
  • Bachelors degree in Computer Science, Information Systems or related field.
  • Experience with Tableau or other leading (Business intelligence) BI tool is required.
  • Experience developing cloud-based applications using Azure, AWS or Google Cloud; Azure preferred.
  • Experience creating and maintaining CI/CD pipelines. 
  • Experience designing and executing data pipelines preferably using Azure Data Factory
  • Experience with Microsoft Azure native databases and services.
  • Experience working in SQL and data analysis across large data sets. 
  • Experience with at least one programming language, C# or Python preferred.
  • Knowledge and understanding of BI Reporting Tools and Troubleshooting. 
  • Knowledge and understanding of cloud scaling and security practices.
  • Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. 
  • Ability to lead and manage projects and/or project teams.
  • Experience working with Healthcare data encompassing PHI/PII desired 

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