ETL Developer

• Provides development and production support for the Business Intelligence infrastructure including data warehouses, data marts, data models, data services, views, and reports.
• The position is primarily focused within the Clinical Research environment working (HIPAA compliant environment).
• Responsible for analysis, planning, design, development, implementation, and maintenance in support of University central and departmental standardized ETL and report processes, as well as, integration with both internal and external data partners.
• With minimal supervision, this position develops processes to assist in clinical research efforts.
• Involved with ingesting data from a variety of university data sources.
• Adapts and helps lead standard methodologies for ETL development.
• Working with the research leads and other technical teams, this position designs and develops ETL workflows to reshape the data into consumable formats for research and reporting needs.
• Acts as an Honest Broker within the Clinical & Research environment that keeps sets of confidential information but distributes parts of those set to other entities who should not have access to the entire set.
• Perform file management of sensitive data into and out of the CRDW environment with the approval of the Data Governance Committee. Maintain status of data inventory and file transfers.
• Understands and adheres to Rutgers compliance standards as they appear in RBHS s Corporate Compliance Policy, Code of Conduct and Conflict of Interest Policy.
• Performs other related duties as assigned.

Requirements:

• Bachelor s degree or an equivalent combination of education and/ or experience in system design and development.
• A minimum of seven years in an analytical and programming environment with emphasis on healthcare data for research, reporting and analytics or equivalent experience.
• Current experience using ETL Tools/software (for example only: Informatica, ODI, Data Quality and native PL/SQL)
• Proficient in SQL
• Experience with Data Modeling in a Data Warehouse environment.
• Current experience with Oracle and MS Sql Server databases.
• Experience with Perl or Shell Scripting, R, SAS is also desirable.
• Prefer proven experience with the EPIC data model and/or related experience with healthcare data.
• EPIC Caboodle Developer Certifications preferred.
• Customer service mindset, profession courtesy, respect and consistent positive communications to team members and clients is essential to delivering great work experiences.
• Experience with data modeling for research, reporting & analytics.
• Aptitude for leveraging big-data technologies.
• Ability to understand complex, integrated state of the art business intelligence and report data modeling.
• Ability to understand complex user authentication and data access authorization security models.
• Excellent written, oral, and interpersonal skills and the ability to foster working relationships with users and peers.
• Excellent technical documentation, analytical and research skills.
• Skills to create and maintain ETL workflows/processes for a myriad of data sources including cloud sources, creating source to target specifications from client requirements and completing development of ETL processes using Oracle PL/SQL, Informatica, R, SAS or any other ETL tools.
• Knowledgeable in reporting tools, decision support systems, data modeling, data design and ETL processing, preferably experienced in EPIC data model and other Healthcare data.
• Experience with data mapping analysis and design
• Familiar with Data Warehouse concepts and experience with Star Schema
• Extensive knowledge of data structures, database solutions, and best practice data management principles
• Strong analytical and problem solving skills

Excellent Benefits, find out more here: ;/p>

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.