Data Engineer (Products & Systems)
Tasks
- Build ETL and ELT processes
- Design, develop, and maintain data pipelines
- Ensure data quality, consistency, and reliability
- Follow engineering best practices and participate in peer reviews
- Implement process improvements and automation
- Improve data reliability monitoring and quality
- Integrate large complex datasets
- Provide data extracts and trusted datasets
- Support data platform stability and performance
- Troubleshoot data issues and validate data
Perks/Benefits
- Additional vacation
- Flexible working hours
- Fluent English required
- Health days without doctor note
- Health insurance after probation
- Hybrid work
- Paid military training leave
- Special offers for company products and services
- Training and development
- Volunteer time off
- Wellbeing resources
Skills/Tech-stack
Azure Data | Azure Data Factory | Bash | Data Factory | Data Modeling | Data Pipelines | Data Quality | Data Services | Data Warehousing | Data integration | DevOps | ELT | ETL | Git | Linux | Pentaho | Powershell | Python | SAP Data Services | SAP data | SQL | SSIS | Talend
Education
N/A
Roles
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