Middle Data Engineer
Tasks
- Collaborate with engineers and product managers on requirements
- Define data quality requirements and metrics
- Design data schemas and data models
- Expand automated data quality coverage
- Investigate and resolve data incidents end to end
- Maintain and evolve data documentation
- Monitor data quality in production
- Onboard and integrate new data sources
- Track data SLAs with dashboards and alerts
Perks/Benefits
- Company meetups
- Flexible working hours
- Hybrid work format
- Learning and mentorship
- Long-term career growth
- Performance bonuses
- Private health insurance
- Relocation support
- Team events
- TradingView Premium access
Skills/Tech-stack
APIs | Application logs | Batch Processing | CI/CD | Data Catalog | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data profiling | Data schemas | ETL | GitLab | JSON | Jenkins | Kafka | Linux | Logging | Metadata Management | Python | Streaming | YAML
Education
N/A
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