Detalle Oportunidad

Empresa: Beyserin Consulting Sas

Perfil: Beyserin Consulting, es una empresa de servicios especializados en informática, consultoría, head hunting, desarrollo de software a la medida y aplicaciones móviles. Contamos con oficinas en USA, México, Panamá, Colombia, Chile, Ecuador, Argentina , Costa Rica y España. Tenemos un grupo de profesionales altamente calificados en Proyectos IT con más de 20 años de experiencia, contribuyendo a los objetivos de éxito establecidos por nuestros clientes, ya sean empresas nacionales y/o trasnacionales de cualquier tamaño e industria.

Descripción • 5+ years of experience required on data architecture (order matters): o Hands-on experience in defining and implementing data mesh principles across multiples domains o Proven expertise in dimensional modeling (Star and Snowflake schema). o In-depth knowledge and hands-on experience with Data Vault 2.0 modeling. o Experience designing enterprise data architecture using modern lakehouse, dalalake and warehouse patterns. o Proficient in designing logica, physical, and canonical data models aligned with business domains. o Experience working with metadata management and catalogs. o Strong knowledge of master data management MDM, data lineage and data governance best practices. o Knowledge of data privacy regulations and secure data architecture design. • Technical Proficiency in: o Python expert. o Open Format Table expert (Delta lake or Iceberg or Hudi). o Azure / GCP cloud professional data architect certification. o GCP Dataplex expert. o Databricks Unity Catalog expert. o Spark y/o Flink expert.

Requisitos: • 5+ years of experience required on data architecture (order matters): o Hands-on experience in defining and implementing data mesh principles across multiples domains o Proven expertise in dimensional modeling (Star and Snowflake schema). o In-depth knowledge and hands-on experience with Data Vault 2.0 modeling. o Experience designing enterprise data architecture using modern lakehouse, dalalake and warehouse patterns. o Proficient in designing logica, physical, and canonical data models aligned with business domains. o Experience working with metadata management and catalogs. o Strong knowledge of master data management MDM, data lineage and data governance best practices. o Knowledge of data privacy regulations and secure data architecture design. • Technical Proficiency in: o Python expert. o Open Format Table expert (Delta lake or Iceberg or Hudi). o Azure / GCP cloud professional data architect certification. o GCP Dataplex expert. o Databricks Unity Catalog expert. o Spark y/o Flink expert.