| Enterprise Data Modeler at Richmond, Virginia (Candidates must be local to Richmond, VA) at Richmond, Virginia, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=657308&uid= From: Harsh Goyal, Tek inspirations [email protected] Reply to: [email protected] Job Description - Enterprise Data Modeler Primary Location: Richmond, Virginia (Candidates must be local to Richmond, VA) Education and Experience Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules. 10 Years Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team. 10 Years Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect th 10 Years Develop canonical models, Data as a service models and Knowledge of SOA to support integrations. 10 Years Perform data profiling/analysis activities that helps to establish, modify and maintain data model 10 Years Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. 10 Years Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol 10 Years Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables. 10 Years Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity 10 Years Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. 10 Years Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. 10 Years Experience in ERWIN tool 10 Years Experience in NIEM model 10 Years Knowledge and Skills Good knowledge of applicable data privacy practices and laws. Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language. Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solution Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables. Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. WHAT YOULL DO: Job Responsibilities: Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and architectures are in regulatory compliance. Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model. Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. Develop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Maintain logical and physical data models along with accurate met Perform data profiling/analysis activities that helps to establish, modify and maintain data model. Develop canonical models, Data as a service models and Knowledge of SOA to support integrations Keywords: rlang Virginia http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=657308&uid= |
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| 11:51 PM 19-Sep-23 |