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Center 3 (19075), United States of America, McLean, Virginia Principal Associate - Ontology and Data Governance The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. Knowledge of data governance and compliance (GDPR, HIPAA) is beneficial.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. We are looking for a skilled Data Engineer who is a mentor and thought leader.
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The roadmap maximally enhances the findability, accessibility, interoperability and/or integration, common data definitions and structures, reusability, reproducibility of informatics and data resources consistent with regulatory compliance, security, institutional priorities, effective data governance throughout MSHS within the available budget.
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We are seeking a highly experienced and motivated Senior Manager to join our team as a Workiva ESG (Environmental, Social, and Governance) Solution Consultant. The successful candidate will be responsible for leading the implementation of the Workiva ESG solution for our clients, ensuring seamless integration, and delivering exceptional value.
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Data Integration Engineer with hands-on experience in designing and implementing data warehouses and data marts for large financial institutions. Developing and maintaining complex ETL mappings, workflows and Unix shell scripts in a normalized/denormalized data warehouse/data mart environment based on technical specifications and other supporting documentation, utilizing Informatica PowerCenter, Unix Shell Scripts, advanced SQL, Python, AWS services and Autosys Enterprise Scheduler, Performing Unit Test, System Integration Testing, User Acceptance Testing, Disaster Recovery and regression testing activities.
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LI-NC1 Preferred Qualifications: Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality Knowledge in data modernization, Cloud, data migration and digital transformation MBA or master’s degree or equivalent experience from a top-ranked institution.
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Strong understanding of data management concepts, data engineering, data governance, and related technologies. Experience working with Data Technologies like databricks, Redshift, Python, data warehouse, data lake, and data pipeline technologies.
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Experience selling one or more of the following: Analytics, Back Office Solutions, Data Governance, Data Management, Data Warehouse, EOD Reporting, Front Office Solutions, Managed Services, Middle Office Solutions, Order Management (OMS), Portfolio Management (PMS), Reconciliation, Regulatory Solution, Reporting, Trade Management, Treasury.
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Assist with testing and data validation activities involving PwC, DSC, RJW, Celigo, and Orderful. Proven ability to manage testing and data validation processes with multiple stakeholders, including PwC, DSC, RJW, Celigo, and Orderful.
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Minimum 10 years of experience in data governance, data engineering, and data strategy, with a focus on leadership roles. Create a federated data management function: Ensure a firm wide partnership and commitment across the functions for data architecture, data engineering, data governance and data quality.
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Projects include model technical enhancements and tuning; model validation issue resolution; and data governance regression and feed updates. Liaise with other business and technology groups to ensure the proper resolution of data governance issues.
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Lead the design and development of data ingestion and integration platforms (ETL/ELT) using AWS Glue, Airflow, dbt, Matillion, and other relevant technologies. Extensive experience designing and building data ingestion and integration platforms using AWS Glue, Airflow, dbt, Matillion, etc.
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An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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big data governance integration jobs Title: big data engineer in New York, NY
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