SAP NS2 Data and Analytics Engineer
Tasks
- Build data flows
- Create metrics and dashboards
- Define data architecture
- Design and implement data storage solutions
- Design future-state data architecture
- Develop analytics and statistical models
- Develop conceptual logical physical data models
- Develop data models
- Drive organizational change management
- Ensure single source of truth
- Implement data strategies
- Improve data quality
- Recommend data governance and master data management
Perks/Benefits
- Health and well-being benefits
- Hybrid work environment
- Skill growth
- Team inclusion
- Training and development
Skills/Tech-stack
AI machine learning | Analytics Cloud | Business Intelligence | C4S | Data Architecture | Data Governance | Data Ingestion | Data Lake | Data Management | Data Modeling | Data Quality | Data Security | Data Warehouse | Dimensional Modeling | ETL | Enterprise Data | Enterprise Data Management | Language Models | Language Processing | Large Language Models | Machine Learning | Master Data | Master Data Management | Metadata Management | Natural Language | Natural Language Processing | NoSQL | Relational databases | SAC | SAP Analytics | SAP Analytics Cloud | SAP BDC | SAP BTP | SAP ECC | SAP HANA | SAP Joule | SAP S4HANA | SAP Service | SAP Service Cloud | Service Cloud | ServiceNow
Education
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