Senior Data Engineer (m/w/d)
Tasks
- Build azure data factory etl elt pipelines
- Build azure data logistics platform infrastructure to consumer layer
- Build azure devops yaml pipelines for multi stage deployments
- Build power bi semantic models with dax measures and rls
- Create terraform modules for azure infrastructure
- Design azure data platform architecture
- Develop consumer views with kpi calculations
- Develop sql database projects ddl stored procedures views
- Implement automated testing
- Implement sql transformations scd type 2 hierarchy flattening deduplication currency conversion
- Integrate sap s4hana ecc crm mes and apis
- Lead customer data projects discovery sprint planning stakeholder communication
- Manage infrastructure state across environments
- Mentor junior/mid-level data engineers
- Perform code reviews
- Use ai coding tools and validate ai generated code quality
Perks/Benefits
Skills/Tech-stack
Agile | Automated testing | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure SQL | Azure SQL Database | Azure SQL Database Projects | CI/CD | CTE | DAX | DDL | DML | Data Factory | ELT | ETL | Git | Infrastructure as Code | Kanban | Media Model | Performance Tuning | Power BI | RAG | RLS | SAP ECC | SAP S4HANA | SCD Type-2 | SQL | SQL Agent | SQL Database | Scrum | Stored Procedures | Terraform | Tool-Calling | Type 2) | Views | Window Functions | YAML | “as-code”
Education
N/A
Roles
Regions
Countries
States
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