Senior Data Modeler at Derex Technologies Inc in Erie, PA

companyDescription Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America. With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies. jobDescription Role - Senior Data Modeler Location - PA Long Term Must have in Property & Casualty (P&C) Insurance domain experience. Job Summary: We are seeking a highly skilled Senior Data Modeler with deep expertise in Property & Casualty (P&C) Insurance and strong capabilities in data analysis, modeling, governance, and schema management. This role requires hands-on experience in analyzing complex data structures, ensuring data quality, and designing scalable data models aligned with industry standards such as ACORD and enterprise canonical data models, along with strong familiarity with policy administration platforms such as OneShield and Policy Management Systems (PMS). Key Responsibilities: Work closely with business stakeholders to translate P&C insurance domain requirements (policy/quote/rating lifecycle, endorsements, claims, billing) into scalable data solutions. Perform in-depth data analysis and profiling to assess data quality, completeness, and consistency across multiple systems. Design and implement robust data models, including: Relational and Denormalized Data Modeling Dimensional Modeling (Star/Snowflake schemas) Data Vault Modeling (Hubs, Links, Satellites) Apply Slowly Changing Dimensions (SCD Types 1, 2, 3, etc.), with clear understanding of when to use each based on business requirements. Support Change Data Capture (CDC) processes to enable efficient incremental data ingestion and synchronization. Conduct data balancing and auditing to ensure reconciliation between source and target systems. Analyze and process XML and JSON data structures, including troubleshooting and transformation. Maintain and enhance XSDs and Java-based schemas, addressing: Schema evolution and Schema drift Backward/forward compatibility Work with and map data to industry-standard data models (e.g., ACORD) and design/maintain enterprise canonical data models for system interoperability. Integrate and analyze data from policy administration systems such as OneShield and other PMS platforms, ensuring alignment with downstream data models and reporting layers. Collaborate with engineering teams to ensure proper schema versioning, canonical modeling, and governance practices. Define and enforce data governance standards, including metadata management, lineage, and data quality rules. Support regulatory and reporting requirements specific to the insurance industry Required Skills & Qualifications: Strong experience in Data Analysis and Data Profiling tools/techniques Expertise in Dimensional Modeling, Data Vault 2.0, Canonical Data Modeling and hands-on experience using the tools like ERWin and Hackoldate Solid understanding of Change Data Capture (CDC) frameworks and tools Deep knowledge of SCD Types and practical implementation strategies Hands-on experience with XML, XSD, and JSON data structures using XML IDEs like Altova XMLSpy Deep understanding of the Mainframe Data Structures (like Segments, Copybooks) Experience in schema management, including schema evolution and drift handling Proficiency in data auditing, reconciliation, and balancing techniques Strong SQL and XQuery skills and experience working with large datasets. Experience working with industry-standard data models such as ACORD Regards, Manoj Goud Derex Technologies INC Contact : 973-834-5005 Ext 206 qualifications additionalInformation All your information will be kept confidential according to EEO guidelines.