Data & Analytics Engineer
Tasks
- Build and deploy analytical solutions
- Collaborate in agile/scrum teams
- Define acceptance criteria for data products
- Design and optimize ELT/ETL pipelines
- Design data product architectures
- Enable self-service analytics
- Ensure data quality and observability
- Establish engineering standards
- Implement CI/CD pipelines
- Implement data governance, security, and compliance
- Improve data products with measurable impact
- Integrate SAP and non-SAP data sources
- Manage RBAC lineage and metadata
- Own data product lifecycle
- Perform version control and code reviews
- Run automated testing and documentation
- Troubleshoot reporting and data content issues
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics Cloud | Automated testing | Business Data Cloud | CI/CD | Code review | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Security | Data cloud | Databricks | Delta Lake | Dimensional Modeling | ELT | ETL | Git | HANA Cloud | Metadata Management | Observability | PySpark | Python | RBAC | SAP Analytics | SAP Analytics Cloud | SAP Business Data Cloud | SAP Datasphere | SAP HANA | SAP HANA Cloud | SQL | Semantic Modeling | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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