Healthcare Data Architect/ Data Governance Specialist - Onsite (New York, NY) Job at CEDENT, New York, NY

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  • CEDENT
  • New York, NY

Job Description

Description:

  • Work with the BA’s and Business to understand the requirements
  • Create the source to target mapping that documents the business name, definitions, business and data quality rules, RDM, Source and target and transformation logic.
  • Ability to create and update models, generate data dictionaries, DDL using best practices in ER studio.
  • Proficient in SQL to query data to research data in the data platform.
  • Very good understanding of Insurance domains (Clinical Data; Claims, Enrollment, provider,etc.).
  • Has experience and understanding of best practices, guidelines and standards for Data Governance, Data Quality and Data Integrations
  • Development of best practices, guidelines and standards for Data Governance, Data Quality and Data Integration

Knowledge:

  • Experience with Healthcare data formats such as X12, HL7, NCPDP, etc.
  • Experience with Industry Data Models such as ADRM, IBM IIW/HPDM or Teradata Healthcare Data Model
  • Experience with Metadata management processes and tools (Glossary, Lineage, Mapping, etc.)
  • knowledge of, and experience, with database management system (DBMS) physical implementation, including tables, joins and views, specifically Oracle and Redshift
  • Knowledge of NoSQL data stores such as MongoDB, Neo4J, Cassandra, Redis, etc.
  • Experience with Data Warehouse and Data Marts
  • Experience with Healthcare data formats such as X12, HL7, NCPDP, etc.
  • Experience with Industry Data Models such as ADRM, IBM IIW/HPDM or Teradata Healthcare Data Model
  • Experience with Metadata management processes and tools (Glossary, Lineage, Mapping, etc.)
  • knowledge of, and experience, with database management system (DBMS) physical implementation, including tables, joins and views, specifically Oracle and Redshift
  • Knowledge of NoSQL data stores such as MongoDB, Neo4J, Cassandra, Redis, etc.
  • Experience with Data Warehouse and Data Marts

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