Data Engineer (Retail Products & Systems)
Vilnius, Lithuania
R
EUR 41K-62K Mid-level Full Time
Tasks
- Build ETL ELT processes and data solutions
- Collaborate with product owners and analysts
- Design, develop, and maintain data pipelines
- Improve data quality and monitoring
- Perform peer reviews and follow engineering best practices
- Support reporting and migration analytics
- Transform and integrate large datasets
- Troubleshoot data issues and validate data
Perks/Benefits
- Additional vacation
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- Paid leave for military training
- Professional growth training
- Special offers for products and services
- Volunteer time off
- Wellbeing resources
- Work from EU allowed
Skills/Tech-stack
Automation | Azure Data | Azure Data Factory | Bash | Data Factory | Data Modeling | Data Pipelines | Data Quality | Data Services | Data Validation | Data Warehousing | Data integration | DevOps | ELT | ETL | Git | Linux | Pentaho | Powershell | Python | SAP Data Services | SAP data | SQL | SSIS | Talend
Education
N/A
Roles
Language: en
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