Dwh-spezialist Mit Erfahrung In Datenmodellierung - Data Vault

Callista

Nord-Deutschland, Germany
On-site
Data vault 2.0 methodology
Raw and business vault structures
Metadata-driven elt processes
Support the conception and implementation of a scalable enterprise-wide data platform

Job Summary

  • Support the conception and implementation of a scalable enterprise-wide data platform.
  • Design and model Data Vault structures according to business requirements and ensure auditability.
  • Collaborate closely with Data Engineers, Architects, and business departments to build a robust data architecture.

Matching Summary

Support the conception and implementation of a scalable enterprise-wide data platform.

Skills & Requirements

Must-have

  • Data Vault 2.0 methodology
  • Raw and Business Vault structures
  • metadata-driven ELT processes
  • Cloud data platform optimization
  • data quality and governance

Nice-to-have

  • collaboration with Data Engineers
  • building scalable data architecture
  • business domain modeling

Key Requirements

  • Data Vault 2.0 expertise
  • Hubs, Links, Satellites knowledge
  • Business Keys vs. Surrogate Keys
  • Hashing strategies understanding
  • Insert-Only principles
  • Point-in-Time tables
  • Bridge tables implementation
  • Fluent German
  • Good English

Work Rights

Not specified

Tailored Resume

Cover Letter