Data Engineer

• Design and develop complex ETL solutions using data warehouse design best practices
• Analyze data requirements, data models, and determine the best methods in extracting, transforming and loading the data into the data staging, warehouse and other system integration projects
• Create complex business intelligence reports and data visualizations using tools like Python, Tableau, and PowerBI
• Analyze business requirements and outline solutions
• Validate code against business and architectural requirements
• Create and test prototypes
• Troubleshoot applications and resolve defects
• Work within an agile framework
• Plan, Prioritize and Deliver Resilient, Scalable technical solutions
• Communicate ideas in both technical and user friendly language
• Update and maintain product documentation
• Escalate issues and impediments in a timely manner
• Work within established framework and processes (Agile)
• Collaboratively work with Agile teams, as well as independently
• Perform and coordinate unit and system integration testing when required
• Participate in peer programming, mobbing, hackathons, and code reviews as required
• Support and occasionally lead business intelligence efforts, data analytics efforts, and data governance/quality efforts

Senior Data Engineer

Senior Principal Data Architect – Azure

Data Architect

Staff Data Engineer

Data Engineer