directly contribute to the development of the Firmwide BI and Data Platform, currently comprising a SQL Server 2022 Data Warehouse, Microsoft Fabric, Power BI Semantic Models and an SSRS/Power BI reporting layer. The Data Warehouse services c.500 reports, which are used across the Firm for reporting, analysis … Warehouse - Development of the SSRS/Power BI Paginated reporting solutions - Development of Power BI/Analysis Services data models, which act as a semanticlayer for the front-end reporting tools - Debugging and fixing failed SQL Server Agent Jobs and relating to Data Warehouse/model loading more »
Architects on the implementation of scalable and secure data pipelines. Design frameworks that integrate data governance principles and manage the data lifecycle effectively. Support semanticlayer design to ensure data structures align with business objectives. Reporting & Analytics : Lead the development of reports and dashboards to deliver key business more »
data streams to our Data Platform. Own and manage the ETL/ELT for the Data Platform end-to-end, including our dimensionally modelled semantic layer. Define and embed data quality measures within data pipelines. Ensure data integrity, monitoring, and alerting are integrated into all solutions. Create and manage more »
Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials in London, United Kingdom Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We … domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semanticlayer and API layer. We'll trust you to: Maintain and evolve a roadmap for the discovery layer of the Company Financials … to market. Knowledge of how company financials data is used by different financial market players. Proven skills in designing systems for data modelling and semantic modelling. Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product. We'd love more »
Knowledge on different software areas: Big data (Spark, Kafka, HDFS, ….). Containers usage (Docker/Mesos/Kubernetes) Operational/Microservices architectures Ontology, SemanticLayer & Data Products Additional Knowledge on commercial software products: Cloud providers: AWS (Glue, Athena, etc), Azure (Databricks, Microsoft Fabric, etc), Cloud Data solutions more »