26 to 50 of 127 Remote Metadata Jobs

providing advisory support and governance to ensure projects align to simplification strategy and comply with data standards while promoting and supporting effective data modelling, metadata management and alignment to enterprise data model and data controls . We’ll look to you to influence the development of business strategies at an More ❯

providing advisory support and governance to ensure projects align to simplification strategy and comply with data standards while promoting and supporting effective data modelling, metadata management and alignment to enterprise data model and data controls . We’ll look to you to influence the development of business strategies at an More ❯

refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

date and accurate documentation, including lineage, for all production solutions. Monitoring and optimising the performance of data warehouse systems. Managing data models, schemas, and metadata repositories. Maintaining operational data warehouse builds and resolving issues promptly. Ensuring adherence to agreed standards and controls for data marts and operational data stores. Leading More ❯

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 ❯

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 ❯

components versus Corporate Bank developed components Developing application services and components required by the "Data Platform" for Data Management capabilities, including lineage, controls and metadata management Contribution and oversight of features and associated code committed to both our in-house developed software as well as market leading open-source software. 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 ❯

Solid understanding of cloud-based platforms (especially Microsoft Azure and Snowflake) Practical experience designing or managing data pipelines and migrations Skilled in data profiling, metadata management, and compliance (GDPR, CCPA, etc.) Comfortable leading initiatives and collaborating with technical and non-technical stakeholders CDMP or DCAM certification is a bonus, but 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 ❯

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 ❯