101 to 125 of 550 Metadata Jobs

and implement data management strategies, policies, and procedures to ensure data integrity, quality, and security. Design and optimize data governance frameworks, including data standards, metadata management, data classification, and data lineage. Assess existing data management processes and systems, identify areas for improvement, and develop strategies for data process optimization. Lead More ❯

Collaborate closely with stakeholders to understand, investigate, and resolve data discrepancies identified. OneStream Configuration: Design, create, and maintain OneStream mapping/transformation rules and metadata/dimension members to facilitate accurate data migration and address data quality issues. OneStream Application Analysis: Analyse existing OneStream application rules to understand data calculation More ❯

solutions. Not Required, but Preferred: Microsoft Certified Database Administrator (MCDBA) or higher certificates on SQL Server 2005, 2005, 2012. Experience in data modeling and metadata management. Education BS/BA degree in a related technical discipline. More ❯

in developing and maintaining the Configuration Management Database (CMDB) models and defining and mapping IT services. Assist in maintaining the Data Catalog, an extensible metadata platform that provides capability to catalog data sources and products that enable end-to-end discovery, data observability, and federated governance MANDATORY SKILLS: Experience with More ❯

analytics and Reporting. Implement data structures using best practices in data modeling, ETL processes, and SQL, AWS - Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and More ❯

Snowflake Data Engineering and analytics practice. Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide solution/IP leadership You will lead multiple competencies within data engineering & analytics, guiding More ❯

Snowflake Data Engineering and analytics practice. Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide solution/IP leadership You will lead multiple competencies within data engineering & analytics, guiding More ❯

on data Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products Other duties as More ❯

update existing data models Collaborate with data architects, data analysts, and business users Support the implementation of data management strategies Create data definitions and metadata Identify opportunities to optimize data usage Qualifications Proven work experience as a Data Modeler or Data Architect Experience in data modeling principles/methods including More ❯

Create and support business cases for data analysis and anticipate future needs for new data sources. Participate in data quality, master data management, and metadata management activities. Contribute to the creation of data models, dashboards, and advanced visualizations in support of the Finance Operating Model. KEY SKILLS & EXPERIENCE: Desirable: ACA More ❯

end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, model retraining, model deployment and metadata tracking Identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset. Work More ❯

Finance Analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Model data and metadata to support ad-hoc and pre-built reporting. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business More ❯

closely related field; One or more certifications in Oracle EPM Cloud products (EDM, preferable); Minimum 3 years of relevant data management experience (data integrations, metadata, data architecture, data governance, data quality); Previous EDM implementation experience (minimum 2 to 3 implementations, preferable); Experience with Waterfall and Agile methodologies, and hybrid software More ❯

quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. More ❯

for this role: Experience with large-scale multimedia & multilingual content processing systems. Expertise in distributed peer-to-peer storage with 500+ nodes. Proficiency in metadata indexing, summarization, and analytics. Strong background in system performance, scalability, and security. Skilled in technical documentation and training. Experience leading agile/spiral development models. More ❯

into data integrations and model designs. Develop models on the Oracle EPBCS platform including prototype builds, testing and business integration. Drive development of model metadata, calculations/rules, forms, dashboards, and analytical solutions. Build data integrations to move data into, out of, and between models. Drive training, knowledge transfer and More ❯

within the data Experience within at least two (2) of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Data science Advanced analytical algorithms Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing More ❯

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and More ❯

standards and metrics. Ensure compliance with federal and department regulations Collaborate on the implementation of data governance tools and technologies to support data lineage, metadata management and data quality monitoring Required qualifications to be successful in this role: Experience in Data Governance, data management or related roles Strong understanding of More ❯

Engage with internal stakeholders to understand business needs and translate them into technical solutions. Work across teams to improve workflows, standardize testing, versioning, and metadata management processes. We're looking for someone who: Has full-stack engineering experience, including data platforms and building RESTful APIs. Can quickly adapt to unfamiliar More ❯

XACTA 360, Service+, Continuity Planning Tool (CPT), and Software Approval Process (SWAP) the build, test, and deployment of all services, applications, software code, and metadata using enterprise, government-managed Continuous Integration/Continuous Deployment (CI/CD) pipeline Providing Tier 1 and Tier 2 support during non-business hours as More ❯

maturity assessments and alignment of gaps to enabling technology solutions Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. cloud/SAP)/data architecture Understanding of public and private More ❯

Evaluate source data systems for variances, anomalies, and efficiency Create reusable data models and calculated views that scale across the enterprise Optimize logical and metadata models Performance tuning of long running queries/procedures Collaborate with data owners and data scientists to understand relationships in enterprise source data Desired Qualifications More ❯

Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in Agile data definition scrums. Experience in the use of tooling, e.g. metadata cataloguing tools, data modelling tools, EA tools Understanding of, or familiarity with, Data Mesh approaches (as distinct from Data Fabric or Data Platform Experience working More ❯

cases with focus on scalability, reusability, and standardization Collaborate with stakeholders to understand data requirements and translate into technical solutions Ensure data governance policies, metadata standards, and lineage tracking are respected Lead documentation efforts covering data models, lineage, and technical decisions Support the setup of monitoring, CI/CD, and More ❯