Data Warehouse Aas

Il y a 7 mois

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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