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3 дня назад

SAP Datasphere SME

Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
SAP Datasphere SME (SAP Datasphere and enterprise data platforms): Designing, integrating, and governing business-ready data solutions across SAP Datasphere, SAP Analytics Cloud, Salesforce Data Cloud, Azure Data Lake, and Databricks with an accent on data modelling, data quality, and enterprise integration. Focus on building scalable semantic layers and data products, optimising federated data flows, and establishing metadata, lineage, and governance practices.

Company

Technology services organisation delivering cloud, application development, quality engineering, DevOps, AI, data, and automation solutions as part of the Capgemini Group.

What you will do

  • Design, develop, and maintain SAP Datasphere data models, semantic layers, business entities, and virtualised data products.
  • Implement integrations between SAP Datasphere and SAP C4C, Salesforce Data Cloud, SAP Analytics Cloud, Azure Data Lake, Databricks, and other enterprise applications.
  • Establish data governance, quality controls, metadata management, lineage, and business data definitions.
  • Develop and optimise data pipelines, transformations, and federated access models for scalable analytical solutions.
  • Translate business requirements into reusable, governed data assets in collaboration with stakeholders, architects, integration teams, and reporting specialists.
  • Support platform administration, performance tuning, release management, testing, and operational activities.

Requirements

  • Strong hands-on experience with SAP Datasphere, including data modelling, semantic modelling, data federation, business layer design, integration, and governance.
  • Experience with SAP Analytics Cloud, SAP C4C, SAP data services, and enterprise reporting environments.
  • Strong understanding of enterprise data architecture, dimensional modelling, data warehousing, master data management, data quality, metadata management, and data governance.
  • Experience integrating SAP platforms with Salesforce Data Cloud, Azure Data Lake, Databricks, APIs, and enterprise integration frameworks.
  • Ability to work with business and technical stakeholders to define data requirements and deliver scalable data platforms in Agile environments.

Culture & Benefits

  • Continuous learning and personal growth opportunities.
  • Support for individual career path development.
  • Commitment to diversity, sustainability, inclusion, and high ethical standards.
  • Professional communities and role frameworks supporting career development and capability building.

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