ETL Architect - Epic Revenue or Clinical Data Model Certification

January 27

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Northeast Georgia Health System

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Northeast Georgia Health System is a healthcare organization dedicated to improving the health of the community it serves. With a presence that includes 5 hospitals, 6 urgent care locations, and more than 110 doctor's offices, imaging centers, cancer treatment centers, and laboratories, the system offers a comprehensive range of medical services. It provides career opportunities in various areas, including nursing, allied health, and support services, as well as residencies and fellowships for healthcare professionals. The organization is committed to its mission through adherence to core values, offering employee benefits, and engaging in community activities. With locations providing access to both metropolitan and natural amenities, it emphasizes quality of life for employees and residents in Northeast Georgia.

10,000+ employees

⚕️ Healthcare Insurance

📋 Description

• ETL Architect is a high-level business intelligence professional that is a key part of the Data and Analytics Team. • Responsible for the dimensional model design, end to end ETL architecture design, ETL development, and implementation of data models and development of the Data Migration and Data Warehousing solutions. • Responsible for requirements analysis, source data profiling, identifying data quality issues, designing transformation logic to address data quality issues. • Working with customers and Management to determine priorities as well mentoring of other team members on ETL concepts and strategies is also an integral role of the position.

🎯 Requirements

• Epic Revenue or Clinical Data Model or Cogito Project Manager Certificate required (must be obtained within 6 months of date of hire). • Bachelors Degree in Computer Science or related field. • A minimum of seven (7) years experience as a various BI and other analytic reporting software applications with strong preference for EPIC, SQL, and Crystal Report Writing. • Experience in database development and management tasks such as creating indexes, functions, stored procedures, creating databases, file groups, users, configuring permissions and assigning roles to users. • Advanced understanding of Data Migration/Data Warehousing/Data Mart delivery life cycle, from requirements definition to creating source to target mapping documents with transformation rules, Error handling design, data quality, design audit Balance control mechanisms to be able to automate jobs, notify proactively failures, write test cases and create templates to document all aspects of the projects throughout the lifecycle.