Data Engineer (Professional) (Databricks) (m/w/d)
Tasks
- Build and develop ETL ELT processes
- Collaborate with business teams and project teams
- Develop and optimize data pipelines
- Ensure data quality stability and performance
- Integrate data sources
Perks/Benefits
- Employee Assistance Program (EAP)
- Flexible working hours
- Mentoring program
- Onboarding support
- Remote work
- Sabbatical options
- Training opportunities
- Travel for projects
- Workation
Skills/Tech-stack
AWS | Azure | Data Engineering | Databricks | GCP | Python | SQL
Education
N/A
Roles
Regions
Countries
States
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