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Sr Enterprise Intelligence Developer
2 weeks ago
This is a Hybrid position
The Senior Enterprise Intelligence Developer is primarily responsible for the design, development, and ongoing maintenance of business intelligence solutions for all areas of clinical and business operations. Additionally, this position leads efforts necessary for resolving complex technical issues through debugging, research, and investigation. The position will also participate in researching and evaluating new technology products or may suggest changes or enhancements to existing products as required to support the overall Nemours Enterprise Intelligence strategy.
- Serve as a technical lead and subject matter expert in the area of business intelligence solutions (report/dashboard) development to successfully facilitate the delivery of these items in support of clinical and business objectives.
- Engage with application analysts, business analysts, and report/dashboard end users to assess needs, gather and define requirements, and document solution specifications.
- Design, develop, test and deploy business intelligence solutions (dashboards and/or reports) that adhere to department standards and best practices.
- Cultivate productive customer relationships and ensure that solutions meet customer needs and align with the overall Nemours Enterprise Intelligence strategy.
- Debug, monitor, and troubleshoot solutions and continuously evaluate solutions for optimization. Make recommendations for optimizations where appropriate.
- Collaborate with other information systems teams to Identify and troubleshoot data quality concerns.
- Actively participate in data governance activities and contribute to the development of team goals, product roadmaps and strategic plans.
- Teach, coach and mentor other developers as required to help the team collectively deliver on goals and objectives.
- A Bachelor's Degree or higher in Computer Science, MIS, or related technical field preferred or equivalent experience required.
- Minimum of 3 to 5 years' experience in data analysis, design and development of reporting and business intelligence solutions in a data warehouse environment required.
- Understanding of Snowflake Architecture, including its cloud native design, separation of storage, compute and virtual warehouses.
- Experience with Snowflake's Bulk loading and unloading technique.
- Familiarity with external stages.
- Skills in optimizing queries.
- Experience working in Azure cloud platform.
- Proficiency in scripting languages, specifically Python.
- Conduct for moderate to complex data profiling, analysis to evaluate data sources to determine the best source for business information.
- Complete source to target data mapping.
- Translate and transform business requirements into complex data models.
- Design moderately complex flexible data models.
- Collaborate with Data Architect and DBA to translate the logical data model into a physical model.
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