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EPAM
Open roleUpdated

SAP Datasphere (Databricks and SAC)

EPAMSpain
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
10 tags

Technology context

10

Parsed from the vacancy text; ordered by relevance to this role.

PythonCloudAPIDatabricksAutomationSQLGitSAPSAP Analytics CloudSAP Datasphere

Full listing

Role description

We're looking for an SAP Datasphere Specialist to join our team in Spain in a remote working mode. In this role, you will design and implement data models, reporting solutions and integrations leveraging SAP Datasphere and SAP Analytics Cloud (SAC) to enable data-driven decision-making across the enterprise. You will also work with modern data platforms such as Databricks for advanced analytics and engineering while ensuring data quality, performance and governance in complex, multi-source environments.

This position provides an opportunity to design modern, scalable data workflows, collaborating with business and technical stakeholders to deliver high-impact reporting and analytics capabilities.

Responsibilities

  • Design and develop data models in SAP Datasphere, using graphical and SQL-based views
  • Build interactive dashboards and reports in SAP Analytics Cloud (SAC)
  • Collect and integrate data from multiple sources using API connections and authentication methods (e.g., Bearer tokens, OIDC)
  • Collaborate with stakeholders to gather and translate reporting and analytics requirements into solutions
  • Ensure data quality, consistency and performance optimization across data models and reports
  • Work with Databricks or similar platforms for advanced data processing and analytics use cases
  • Develop Python scripts and automation for data integration in Databricks
  • Maintain code and assets using Git-based version control and collaborative workflows

Requirements

  • Strong experience in data modeling and reporting design
  • Hands-on expertise with SAP Datasphere and SAP Analytics Cloud (SAC)
  • Experience working with APIs and secure authentication mechanisms (Bearer tokens, OIDC, etc.)
  • Familiarity with Git-based workflows and version control practices
  • Solid understanding of SQL
  • Exposure to Databricks or similar modern data platforms
  • Ability to work in collaborative, cross-functional teams and deliver high-quality solutions

Nice to have

  • Experience with Python for data processing and automation
  • Knowledge of SAP HANA and its integration within analytic workflows