Senior Data Quality Engineer - Labor Management Forecasting

Experience in implementing enterprise applications using platform services like azure App service, Azure SQL, Azure Service Bus, notification hubs, event hubs, Microservices, stream analytics, Snowflake DB, Redis Cache, OpenAPI, IoT Hub, application insights, etc. 5+ years of experience in analyzing complex, enterprise business problems or processes and translating business requirements into technology solutions that factor in system performance, usability, quality, cross-system interdependencies, scalability, and total cost of ownership.

Required Qualifications

• Bachelor’s degree in management information systems, Computer Science, Business, or other analytical disciplines or equivalent experience
• 5+ years of experience in application design, development, and delivery in an enterprise environment
• 5+ years of experience developing large-scale data manipulation processes.
• 5+ years of experience working with relational databases.
• 5+ years of experience implementing large scale enterprise applications.
• 5+ years of experience in analyzing complex, enterprise business problems or processes and translating business requirements into technology solutions that factor in system performance, usability, quality, cross-system interdependencies, scalability, and total cost of ownership.
• 2+ years of experience utilizing Databricks for Python
• Proficient in writing complex queries using an ANSI-compliant SQL language against an enterprise relational database management system.
• Experience planning and managing all activities associated with delivering solutions in a large-scale distributed environment.

 


Preferred Qualifications

• 7+ years of experience in application design, development, and delivery in an enterprise environment
• 7+ years of experience developing large-scale data manipulation processes.
• 7+ years of experience working with relational databases.
• 7+ years of experience implementing large scale enterprise applications.
• 7+ years of experience in analyzing complex, enterprise business problems or processes and translating business requirements into technology solutions that factor in system performance, usability, quality, cross-system interdependencies, scalability, and total cost of ownership.
• Experience in implementing enterprise applications using platform services like azure App service, Azure SQL, Azure Service Bus, notification hubs, event hubs, Microservices, stream analytics, Snowflake DB, Redis Cache, OpenAPI, IoT Hub, application insights, etc.
• Experience with Azure DevOps for managing project tasks, managing code repositories, and creating yaml pipelines for CI/CD builds and deployments.
• Azure AZ-305 certification or equivalent experience in designing/architecting Azure solutions
• Experience with C# and/or Python development
• Experience with Unity Catalog, Data/Delta Lake
• Experience with advanced ML specializations (AutoML, forecasting, ensemble methods)

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