AI Data Engineer - Early Career
Summary
Early-career AI Data Engineer at DarioHealth building dashboards, KPIs, and ETL/ELT pipelines while contributing to AI-enabled automation. Day-to-day work involves writing Python and SQL, maintaining data models and warehouses, and ensuring data quality and reliability.
- Build dashboards reports and KPI tracking
- Contribute to AI enabled automation workflows
- Create data documentation
- Design ETL/ELT pipelines
- Improve data reliability
- Maintain data models semantic layers and data warehouses
- Monitor data quality and troubleshoot pipelines
- Participate in agile ceremonies
- Participate in testing monitoring and validation
- Perform code reviews and mentorship
- Perform exploratory data analysis
- Support orchestration and scheduled data processing
- Use AI-assisted development tools
- Validate business metrics
- Write Python and SQL code
Perks/Benefits:
- Career growth
- Inclusive work environment
- Mentorship