Enterprise Intelligence Developer (Finance)
Nemours is seeking an Enterprise Intelligence Developer to join our Nemours Children's Health team. Preferred location is Jacksonville, Florida. Will consider qualified candidates from other remote locations.
The Enterprise Intelligence Developer is responsible for the requirements gathering, analysis, development, testing, deployment, monitoring and ongoing support of data extracts, imports, and Data Warehouse transformations and modeling for both business and clinical systems at Nemours. Additionally, this position participates in resolving complex technical issues through debugging, research, and investigation. The position may suggest changes or enhancements to existing products as required to support the business and clinical integration strategy.
Responsibilities:
- Assumes primary developer role for projects as designated by supervisor which may include: assisting project manager in the coordination of project plan activities; ensuring timely and effective communication between all members of the project team regarding daily status and issues; and preparing go live and sign off documents and processes.
- Requirements gathering, design, development, testing, and deployment of SQL based solutions leveraging SSIS.
- Provides daily support for existing ETL solutions, including modifying, testing, validating, and documenting system changes. Adheres to normal change control processes for these activities.
- Day to day system administration of various integration tools including performance tuning, system monitoring, problem investigation, and application upgrades.
- Proactively identifies process and procedural issues and suggests potential solutions and engages teammates or other teams as required.
- Other duties as assigned.
Requirements:
- A Bachelor's Degree or higher in computer science, MIS, or related technical field preferred or equivalent work experience is required.
- Minimum of 1 to 3 years of progressively responsible experience in a directly related area, during which both technical and professional capabilities have been clearly demonstrated is required.
- Experience with the following required:
- Knowledge of SQL language and cloud-based technologies
- Data warehousing concepts, data modeling, metadata management
- Data lakes, multi-dimensional models, data dictionaries
- Migration to Azure Snowflake platform
- Snowflake modeling - roles, databases, schemas
- ETL tools with cloud-driven skills
- Integration with third-party tools
- Coding in languages like Python, Java, JavaScript
- Snowflake warehousing, architecture, processing, administration
- Data ingestion into Snowflake
- Enterprise-level technical exposure to Snowflake applications
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