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Responsibilities:
- Oversee the integration and management of SAP SLT (System Landscape Transformation) for data replication and transformation.
- Implement and maintain data pipelines using Databricks for efficient data processing and analytics.
- Work with SAP DataSphere for data modeling, governance, and seamless data connectivity.
- Collaborate with data engineering and business teams to ensure smooth data flow between systems.
- Monitor, troubleshoot, and optimize the performance of data solutions to meet business needs.
- Document processes and provide ongoing support and training for developed data solutions.

Skills:
- Expertise in SAP SLT
- Proficiency in using Databricks for data engineering and analytics.
- Familiarity with SAP DataSphere for data integration and governance.
- Solid understanding of ETL/ELT processes and data pipeline design.
- Strong problem-solving abilities and analytical thinking.
- Effective communication and collaboration skills for cross-functional teamwork.

Tools:
- SAP SLT (System Landscape Transformation Replication Server).
- Databricks (including Databricks notebooks, Delta Lake, and associated tools).
- SAP DataSphere (previously known as SAP Data Warehouse Cloud).
- Data pipeline and orchestration tools
- Monitoring and analytics platforms
- Version control systems such as Git.

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