Engineer Data Engineering & Analytics
Tasks
- Apply DataOps and DevOps practices
- Build data platforms
- Design data pipelines
- Document pipelines and operational procedures
- Enable analytics and self service BI
- Enforce data governance and security
- Ensure data quality and reliability
- Implement ETL/ELT workflows
- Implement role-based access control
- Integrate SAP Salesforce and MES data
- Manage CI/CD for data pipelines
- Monitor data freshness and accuracy
- Operate data pipelines
- Set up encryption and data masking
- Support data lineage and metadata documentation
- Use version control and automated testing
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Apache Spark | Automated testing | Azure Data | Azure Data Lake | Azure Event | Azure Event Hubs | Business Technology Platform | CDS Views | CI/CD | Cloud Data | Cloud Data Warehouse | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Warehouse | Data masking | Dimensional Modeling | ELT | ETL | Encryption | Event Hubs | Infrastructure as Code | Kafka | Metadata Management | MuleSoft | Python | Role-Based Access | Role-Based Access Control | SAP BW | SAP Business | SAP Business Technology Platform | SAP CDS | SAP CDS Views | SAP Datasphere | SAP ECC | SAP IDoc | SAP S4HANA | SQL | Salesforce APIs | Salesforce CRM | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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