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Implementation: Lead the implementation of Azure Databricks solutions, ensuring best practices for performance, security, and data governance. Governance: Ensure data governance and security policies are implemented and adhered to within the Databricks environment.
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Preferred Background: Experience (-+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB and SQL Server, etc.
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Data collection modes, techniques and tools; Data analytics & visualization tools and techniques; Existing and upcoming digital applications and other systems used in the respective areas; Technology innovation trends & industry benchmarks; Data governance as it relates to data quality, metadata, and data lineage; Data Science techniques and their applications in a function specific context.
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Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & newsData GovernanceThe Governance team partners with the Product Management and Data Tech Engineering functions of the Disney Entertainment organization as well as with legal, privacy, information security, other business units within The Walt Disney Company, and industry groups to ensure consistent, trustworthy data.
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Experience in developing and implementing data governance strategies and frameworks specifically for CMDBs∯*∯ Proficiency in using CMDB tools and technologies (e.g., ServiceNow, BMC Remedy, or similar.
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Implement data architecture initiatives on data quality, data governance, data standards, and data policies across all core business functions to ensure consistency in data definitions and data usage Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation.
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Collaborate with data analyst and business intelligence teams to design data visualization solutions and reporting on adherence to data architecture and data governance metrics.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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You will also be a key driver in the implementation of Power BI Center of Excellence, governance, data strategy and well-defined database practices aligned with Technology & Systems strategic priorities.
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Deep understanding of data governance policies, implementation best practices and hands-on experience in implementing Policies as Code Architecture, design & implementation of unified data access using AWS Lake formation, AWS Data Zone, IAM, OKTA and others.
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Working knowledge of unity catalog and data governance principles. Knowledgeable of best practices in information technology governance and privacy compliance. 4-6 years of hands-on data engineering experience.
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4 years of progressive industry experience in Data Management, Data Governance, Information Risk Management, IT Governance, IT Compliance, Data Privacy, or Internal/External Technology Audit disciplines, with at least two of those years in an IT or a software development setting.
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PMO lead for onboarding and embedding an ESG Tool, including Carbon Accounting – data sources, aggregation, formatting; process framework and data input controls, change management to embed into ways of workingAssist to design and embed a cost model covering revenue, GP, overhead, fixed costs, and EBITDA to provide multiyear revenue and EBITDA projections to support Sustainability CAPEX/OPEX investments and realize Sustainability Strategy / timely regulatory compliance.
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Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance. Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality.
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Demonstrated experience in data governance, data quality management, and data security practices. Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes.
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transportation data governance jobs Company: Caltrans in MN, Canada
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