26 to 50 of 164 Remote Metadata Jobs

and high throughput. Execute practices such as continuous integration and test driven development to enable the rapid delivery of working code. Design and build metadata driven data pipeline using Python and SQL in accordance with guidelines set by the Data Architect Ship medium to large features independently using industry standard More ❯

team usingCI/CD tools. Experience in Snowflake/AWS Hive and ability to write/analyze SQL queries. Industry experience in master data, metadata, data architecture, data governance, data quality and data modeling. Preferred: Experience in Business Intelligence tools such as PowerBI and Tableau in pharma industry is a More ❯

dimensional models in the gold layer built for analytical use. Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management. Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such More ❯

and Pandas. ·Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. ·Build processes supporting data transformation, data structures, metadata, dependency and workload management. ·Experience supporting and working with cross-functional teams in a dynamic environment. ·Strong communication skills to collaborate with remote teams (US More ❯

and Pandas. Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience supporting and working with cross-functional teams in a dynamic environment. Strong communication skills to collaborate with remote teams (US 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 ❯

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 ❯

SQL ; • Minimum 5 years of professional experience with data visualization (Power BI, Tableau, Qlik ), data handling (Talend Open Studio, Hadoop, FME) , and data modelling (metadata management) . • Preferably, some experience in digital-ready policymaking and AI. More ❯

models for biological age determination and disease stratification based on epigenetic data; Work with AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints; Work on the AWS infrastructure (data storage, analysis pipelines, compute nodes and AWS specific user/role/resource permissions); Contribute to More ❯

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced More ❯

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced More ❯

Extensive knowledge of working with data protection and GDPR compliance Comprehensive of understanding of data management and governance practices including data quality, data security, metadata, master data manager Understanding of technical tools to support data governance practices, e.g. MS Purview Leading and managing a team including work prioritisation and task More ❯

high volume database architectures • Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's • Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) • Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems • Experienced More ❯

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced More ❯

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced More ❯

high volume database architectures • Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's • Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) • Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems • Experienced More ❯

. Extensive knowledge of working with data protection and GDPR compliance. Comprehensive understanding of data management and governance practices including data quality, data security, metadata, master data management. Understanding of technical tools to support data governance practices, e.g. MS Purview. Leading and managing a team including work prioritisation and task More ❯

overall data management roadmap specifically for the General Sessions Data Repository initiative. Establish and enforce processes for governing the identification, collection, and use of metadata related to court data; implement measures to ensure metadata accuracy and validity within the repository. Define methods and procedures for tracking data quality, completeness, consistency More ❯

overall data management roadmap specifically for the General Sessions Data Repository initiative Establish and enforce processes for governing the identification, collection, and use of metadata related to court data; implement measures to ensure metadata accuracy and validity within the repository Define methods and procedures for tracking data quality, completeness, consistency 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 ❯

and provide software solution recommendations. Demonstrated experience in handling relational databases, methodologies & processes to manage large-scale databases and datasets. Understanding of addressing and metadata standards. Experience with other Data Tools such as PowerBI or Tableau. Advanced level of English is a must. More ❯

will be responsible for designing and managing GPA's enterprise data models to support design and deployment of business systems: Design data models and metadata systems Help Chief Data Architects to interpret an organisation's needs Provide oversight and advice to other data architects who are designing and producing data More ❯

and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and More ❯

Strategy and Execution Perform on-page SEO audits and optimise content to improve rankings and site performance. Implement light technical SEO tasks such as metadata optimisation, internal linking, and monitoring site health. Work closely with the editorial, design and client teams to embed SEO best practices into content production. Stay More ❯