Position Title: Data Modeler with Erwin (Client: Genzeon)
Please find the details for the Data Modeler position below to support our ongoing project. I request you to share relevant profiles at the earliest. While screening candidates, please ensure to confirm whether they have worked on healthcare projects. Kindly prioritize candidates with recent healthcare experience, preferably those who have hands-on experience in healthcare domain projects.
Experience: 6 to 12 Yrs Shift Schedule: 2 pm to 11 pm Duration Required: 6 months Project (Extendable) Mode: Remote Budget: 1.8 LPM
Core Focus Skills: Kimball, Modelling concepts, SCDs, Query, Performance Tuning , Partitioning, Optimization, Medallion, healthcare use case, one of the modeling tool proficiency.
Role Overview: We are looking for a detail-oriented Data Modeler to support the consolidation of multiple data marts into a unified enterprise data warehouse for a healthcare payer organization. The role involves working across teams to model core insurance domains such as membership, product, coverage, and claims, using Oracle 21c and Erwin Data Modeler. This is a great opportunity to grow in a collaborative, data-driven environment focused on improving healthcare analytics and operational efficiency.
Key Responsibilities: · Assist in designing and maintaining conceptual, logical, and physical data models for healthcare payer domains. · Minimum 5+ years of experience in Data Modeling, hands-on experience with Kimball, Medallion architecture modelling. · Should have handled 50+ TB implementation using data warehouse concepts along with Data Partitioning techniques. · Familiarity with healthcare payer data, especially membership, product, coverage, and claims. · Hands-on experience with Erwin Data Modeler. · Strong SQL skills and understanding of Oracle 21c database concepts. · Strong analytical and communication skills. · Ability to work collaboratively in a team-oriented environment. · Support the integration and consolidation of data marts related to: · Membership (enrollment, eligibility, demographics) · Product (insurance plans, benefit packages) · Coverage (policy details, coverage tiers, network rules) · Claims (medical, pharmacy, dental claims, adjudication) · Collaborate with business analysts, data architects, and ETL developers to gather requirements and translate them into scalable data models. · Use Erwin Data Modeler/Any other Modelling tool to build and manage models aligned with enterprise standards. · Work with Oracle to implement and optimize data structures for performance and scalability. · Ensure models support reporting, analytics, and regulatory compliance. · Participate in data governance, metadata management, and documentation efforts using tools like Collibra, Alation etc. · Bachelor’s degree in Computer Science, Information Systems, or related field.
Preferred Qualifications: · Exposure to data warehousing concepts and dimensional modeling. · Experience with data integration tools (e.g., Informatica, Talend). · Understanding of HIPAA and PHI data handling requirements. · Knowledge of cloud data platforms (e.g., Snowflake, Databricks) is a plus.
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