Vacancy expired!
- Work alongside Data Warehouse team (ETL Developers and Data Modelers/Architects/Engineers) recently migrated from on-prem to Azure Cloud, to design/develop/deploy new data warehouse (greenfield)
- Cloud Optimization
- Spark Optimization
- Complex data modeling/design/architecture
- Work successfully/gracefully with both IT and business users
- Work with the business to define data needs
- Design enterprise scale pipelines and data structures to ingest, organize, and regulate data for business user reporting needs
- Design processes to successfully collect various data sources into Azure Data Lake - partition, curate, ingest, and integrate data
- Performance tuning - tune to best you can, then add horsepower as needed
- Automate data integration
- Create logical and physical data models for both current and future environments
- Large Enterprise experience
- Extremely strong data modeling experience
- Strong understanding of how to optimize Spark resources
- Strong understanding of how to physically change where the data is stored in a very complex data model
- 5 years of experience in writing complex ETL packages
- Healthcare industry is a must
- Epic Data Model certifications a must (Clarity/Caboodle/Remedy/Clinical)
- Basic ETL knowledge
- Cloud experience (Azure preferred or AWS or Google Cloud Platform)
Vacancy expired!