Description

You will design and diagram data structures to establish the MES Core as a central source of truth and data interchange hub.

Responsibilities

• Define and update internal canonical data models, documenting them within modeling tools.
• Perform data mapping from source systems to canonical models to guide ETL processes.
• Design data models that accommodate various systems of record and promote comprehensive agency data representation.
• Execute technical analysis and decision-making regarding structures, metadata, data types, and mastering rules.
• Define ETL solution patterns and support development teams throughout the SDLC for automated data transmission.

Required Skills

• 7+ years of professional experience.
• Expertise in AWS environments, specifically Glue, DocumentDB, HealthLake, DynamoDB, Athena, S3, Redshift, Kinesis, and Lake Formation.
• Proficiency with JSON and XML formats.
• Experience modeling enterprise-level data within the healthcare domain.
• Hands-on experience handling Protected Health Information (PHI) and Personally Identifiable Information (PII).
• Strong working knowledge of Python or JavaScript.
• Ability to work with UML data modeling for relational databases, NoSQL document stores, and data lakes.
• Experience with Master Data Management (MDM) and distributed solutions.

Preferred Skills

• Experience working with FHIR standards.
• Experience working within an Agile framework.

Key Skills

Education

Any Graduate