Data Engineer
Tasks
- Apply repeatable engineering practices
- Build and maintain cloud data pipelines
- Build cloud data infrastructure
- Collaborate with business intelligence and data science teams
- Collect transform and prepare data with Python and SQL
- Convert requirements into data solutions
- Create documentation
- Maintain version control
- Monitor data pipelines
- Participate in training and knowledge sharing
- Perform data quality checks
- Troubleshoot data issues
Perks/Benefits
- Flexible work schedule
- Hybrid four days in office
- Hybrid work
- Paid vacation
- Volunteer days
- Wellness allowance
- Work permit support
Skills/Tech-stack
Cloud platform | Data Pipelines | Data Quality | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Monitoring | Python | SQL | Troubleshooting | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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