Data Modeler with Healthcare experience

Data Modeler with Healthcare experience

Posted 1 week ago by 1755242437

Negotiable
Outside
Remote
USA

Summary: The Data Modeler with Healthcare experience is responsible for designing and maintaining logical and physical data models, translating business requirements into data structures, and ensuring data integration efficiency. This role requires collaboration with ETL developers and participation in data governance initiatives. The position demands strong proficiency in data modeling tools and a solid understanding of data warehousing concepts. The role is remote and classified as outside IR35.

Key Responsibilities:

  • Design and maintain logical, and physical data models using Erwin Data Modeler.
  • Translate business requirements into data structures that align with enterprise data architecture standards.
  • Define and enforce data modeling standards, naming conventions, and best practices.
  • Collaborate with ETL developers to ensure efficient data integration using Informatica PowerCenter.
  • Analyze source systems and create detailed data mappings and transformation rules.
  • Optimize and tune data models for performance and scalability in large data environments.
  • Participate in data governance initiatives, including metadata management and data lineage tracking.
  • Document data models and create comprehensive data dictionaries and ER diagrams.
  • Provide support for data warehouse and BI reporting requirements.
  • Work closely with DBAs, data analysts, and business users to ensure data consistency and quality.

Key Skills:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
  • 5+ years of experience as a Data Modeler or Data Architect.
  • Strong proficiency in Erwin Data Modeler for designing and managing data models.
  • Hands-on experience with Informatica PowerCenter for data integration and ETL processes.
  • Solid understanding of relational and dimensional data modeling.
  • Experience with data warehousing, ETL, and data pipeline architecture.
  • Strong SQL skills and familiarity with RDBMS platforms (Oracle, SQL Server, etc.).
  • Excellent communication and documentation skills.
  • Familiarity with data governance, master data management, and metadata tools is a plus.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Job Title: Data Modeler with Healthcare experience
Location: Remote
Job Type: Contract

Job Description:

Key Responsibilities:

  • Design and maintain logical, and physical data models using Erwin Data Modeler.
  • Translate business requirements into data structures that align with enterprise data architecture standards.
  • Define and enforce data modeling standards, naming conventions, and best practices.
  • Collaborate with ETL developers to ensure efficient data integration using Informatica PowerCenter.
  • Analyze source systems and create detailed data mappings and transformation rules.
  • Optimize and tune data models for performance and scalability in large data environments.
  • Participate in data governance initiatives, including metadata management and data lineage tracking.
  • Document data models and create comprehensive data dictionaries and ER diagrams.
  • Provide support for data warehouse and BI reporting requirements.
  • Work closely with DBAs, data analysts, and business users to ensure data consistency and quality.

Required Skills & Qualifications:

  • Bachelor s or Master s degree in Computer Science, Information Systems, or related field.
  • 5+ years of experience as a Data Modeler or Data Architect.
  • Strong proficiency in Erwin Data Modeler for designing and managing data models.
  • Hands-on experience with Informatica PowerCenter for data integration and ETL processes.
  • Solid understanding of relational and dimensional data modeling.
  • Experience with data warehousing, ETL, and data pipeline architecture.
  • Strong SQL skills and familiarity with RDBMS platforms (Oracle, SQL Server, etc.).
  • Excellent communication and documentation skills.
  • Familiarity with data governance, master data management, and metadata tools is a plus.