Senior Data Engineer (m/w/d)
Tasks
- Analyze SAP MM procurement processes
- Analyze execution plans
- Build SQL transformations
- Create semantic reporting layers
- Define data contracts with AI engineers
- Deliver AI-ready datasets
- Design scalable data models
- Develop ELT pipelines
- Develop SAP extraction and transformation logic
- Document data models and transformation logic
- Ensure sourcing purchasing and vendor data integrity
- Implement data monitoring and validation frameworks
- Implement data quality frameworks
- Improve pipeline and reporting runtime performance
- Optimize SQL query performance
- Optimize Snowflake data models and joins
- Participate in architecture reviews
- Provide technical guidance and mentoring
- Support SAP ERP and S4HANA migration
- Support data lineage and governance
- Support feature engineering and data preparation
- Support incident resolution and root cause analysis
- Translate business requirements into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Cause analysis | DBT | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Validation | Data Warehouse | Dimensional Modeling | ELT | ETL | Execution Plans | Git | GitLab | Metadata Management | Performance Tuning | Power BI | Python | Qlik | Query Optimization | REST APIs | Reconciliation | Root Cause Analysis | Root cause | SAP MM | SQL | Snowflake | Snowpark | Workload Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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