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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, “big data” techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with data governance, master data management, metadata management, and related processes. He/she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts.
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Domain knowledge with Azure (ADLS, APIs, DF, Synapse), Snowflake, Informatica, Databricks, Data Governance, Data Quality, and other data management tools. Lead the implementation of Snowflake based data solutions, including data modeling, schema design, and data integration pipelines.
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Knowledge of data governance, data management, data modeling, data cleansing, data extraction and transformation, data analysis, data migration, data integration and data mapping.
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Broad knowledge across data engineering (e.g., ETL/ELT, data modeling), data governance (e.g., data modeling, data classification, data catalog and lineage), batch and real-time streaming data platforms and cloud services (e.g., GCS, BigQuery.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Understanding of data modeling, data warehousing, data quality management and data governance principles. Deep knowledge of Master Data Management (MDM) principles, processes, architectures, protocols, patterns, and technologies.
Part-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Principal Cloud Security Architect will direct and guide other technology teams within Crown Castle for all matters related to cloud security strategy and implementation, including Security Tools within Cloud ecosystems (Azure and AWS), Network IPS/IDS, Identity and Access Management (IAM), User Entity and Behavior Analysis (UEBA), Zero Trust, DevSecOps, Security Access and Service Edge (SASE) and Security Frameworks and Methodologies, and Threat Modeling.
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Design & develop enterprise-wide (on-prem, cloud) data governance programs, frameworks, and principles comprising of latest industry best practicesDevelop policies and processes for all data governance-related aspects of data collection, storage, access, sharing, usage, quality, archival, privacy, security, technology, tools, modeling, visualizationHelp existing Data Governance committee with governance policies, processes creation and compliance.
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Gather application's business requirements and specifications for developing architecture pattern, formulating test plan & strategies, test analysis, test design, test cases, development & maintenance of database usingAzure DevOps, IBM Rational and Collibra Data Governance center, SharePoint, Data Modeling, & Oracle SQL Developer.
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Experience with assessments, enterprise data integration, governance, and metrics, including the application of metadata management techniques and data modeling and design.
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Excellent written & oral communication, research, and analytic skillsCapable of research, create, develop, and deliver professional briefings, multimedia presentations, and written reportsExperience with assessments, enterprise data integration, governance, and metrics, including the application of metadata management techniques and data modeling and design.
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Proven experience as a BI Architect or similar role, with a strong background in data analysis, data modeling, data integration, and data visualization. Data Governance: Establish and enforce data governance principles, policies, and standards to ensure data quality, security, and compliance.
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Strong interest in: information retrieval, data mining and machine learning, data modeling and mining, statistics, information theory, text-mining, data analysis, data manipulation / transformation, data cleaning, data mining, and other techniques.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Supports data management, data modeling, data warehousing, and master data management initiatives. Contributes to data governance, data standards, and data literacy initiatives.
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Design, develop and communicate appropriate data structures and architectures including data vault, star schema and data mining models; ability to emphasize methodology, modeling, and governance, technologically and politically neutral, articulate, persuasive, and enthusiastic•Develop and test programs using TSQL and other ETL tools (, SQL Server Integration Services, PowerShell) to support reporting and extract solutions.
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