Data Modeler WITH Healthcare 100% REMOTE
Healthcare Data Modeler Opportunity Remote Experience Required: 5+ years in data modelling
Client is very specific with current experience as a Healthcare Data Modeler in IBM UDMH, FHIR, HL7 models
Must-Have Skills:
- IBM UDMH, FHIR, HL7 Models
- Healthcare Data Modeling (Conceptual, Logical & Physical)
- IBM IDA, ERWin, Data Vault, Dimensional Modeling
- Cloud Architecture (Google Cloud Platform), SQL, Real-time Applications
- Source-to-Target Mapping, Data Profiling & Analysis
Role Overview:
The Data Modeler is responsible for designing, developing and managing the data models that support operational, real-time and analytical applications. The Data Modeler will work in a collaborative team environment to assess requirements, define data modelling strategy and deliver solutions.
The Data Modeler must also have a strong hands-on experience in designing business data model (Conceptual Model) aligning and mapping across HL7, FHIR and IBM UDMH with strong Healthcare domain knowledge.
Key Responsibilities:
Design/Develop/Maintain data models (including Business/Conceptual, Logical and Physical models) that support operational, real-time and analytical applications
Create optimized data designs that facilitate consistency, reuse and ensure efficient storage and retrieval and limit data duplications
Developing models in IBM IDA tool
Use data modeling to create a common language with visual references to describe data and its relationships across business domains
Design and map business entities/attributes across HL7, FHIR and IBM UDMH
Design and map logical/physical entities/attributes across HL7, FHIR and IBM UDMH
Conduct data profiling and analysis to identify data quality issues and propose solutions for data cleansing and enrichment
Establishes team operational plans, develops/implements new processes, standards, and operational plans that impact results, develops technical roadmaps
Collaborates with internal and external teams to ensure timely, high quality solutions
Model/fine tune data models for relational, columnar and no-sql databases
Perform Source to Target mapping (covering conceptual, logical and physical models)
Influences others in technical decision-making / technology adoption in assigned domain
Arrive at solutions including data flow diagrams, process diagrams, use case models as required
Qualification & Skills Required:
Bachelor s or Master s degree preferably in Computer Science or Information Technology or related field
10+ years of experience in data and analytical engagements with at least 5 years in data modeling role
Healthcare domain experience
Advanced knowledge in data modeling techniques such as Business process Model, Entity Relationship, dimensional modeling, data vault, etc
Implementation experience in cloud architecture patterns particularly in Google Cloud Platform
Strong SQL and programming language experience
Experience in Git, Jira and Confluence tools
Comprehensive knowledge of agile development methodologies
Hands on experience in ERWin, IBM IDA tools
Demonstrated experience modelling for real time applications
Ability to collaborate across multiple work locations/teams
Ability to deliver on ambiguous projects with incomplete information
Advanced verbal / written / presentation skills
For immediate consideration, email your resume to .