Data Warehouse Aas

il y a 6 jours

Paris, France Ardemis Partners Temps plein

**Localisation**: Velizy **Métier**: Data **Type de contrat**: mission **Salaire**: Selon Profil **Type d'entreprise**: **Compétences**: Data #Business Analyst #Business Intelligence #anglais Description de poste As a member of the DWH as a Service Squad for a Specific Domain, Within IDS (IS Data & Digital Services) Tribe, you will actively contribute to data & BI related architectures and solutions across the Enterprise. Data as a Product - Delivery For each New Data Product, you will support turning business orientations into robust and performant data Models. In addition, You will also: - Advise and push modern data architecture patterns and solutions answering present needs and putting the Squads & Data Engineers in a position to scale considering complexity. - Support the upfront Discovery Phases before launching a new Data Warehouse as a service by shaping the most relevant Data modeling approach depending on the use case. - Work closely with the Data Governance Teams to align Business orientation with the Group Policy As a Business Analyst (BA), You will be an active contributor to the function / entity DataWarehouse Strategy: - Drive User/ Business interviews to map out the Domain Business Process & the Data Flow - Support the Functional Data Manager to define Data Objects & Data Ingestion Roadmap - Define Data Flow Specs from Source System to the DWH - Define Conceptual Data Model, B.Os & Fill the Data Library System (Data Galaxy) - Define the adequate Data Modeling pattern (Vault, Kimball, etc.) to address the Business needs - Define & Implement Data Quality Process - Facilitate DataWarehouse Delivery with the Squad, Data Engineers & Function Data Manager - Define & implement the target state of Self Service BI architecture patterns Close to the Data Governance & Management team, you will ensure feedback loops to maximize reuse and share data between organizations. **Who you are**: - As a data expert you have a solid technical background and experience in data-intensive systems ( > 10 years). - Experience in an multinational Company with complex organizational ecosystem. Working in the cloud with micro-services would certainly be a plus. You already have a significant experience as a technical lead or architect ( >5 years). - Experience working with large amount of data, Big Data processing - batch and streaming Kafka, Flink, Talend (Experience with any one of them would be a plus) - Completely Comfortable Working in a highly sensitive On-Prem data environment, where security constraints are part of the adventure - You have deep knowledge and experience in Data Modeling, databases, DataMarts,, Data Governance, Data Security, BI tools, ETL Solutions, Data Science, DataOps, MLOps. - You know how to work with data engineers, data scientists, data analysts, architects, product owners, top management. - You have the right mindset: You are autonomous and know where and when to take decisions taking into account the constraints.

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