Data & AI Engineer
Tasks
- Apply data engineering best practices and CI CD integrations
- Build and maintain ETL processes and machine learning workflows
- Design and implement data pipelines
- Develop and fine-tune data models
- Implement data quality checks and governance
- Maintain automated data ingestion and monitoring
- Participate in peer review and technical documentation
- Translate business requirements into technical solutions
Perks/Benefits
- Employer-Matched Retirement Plan
- Group savings plan
- Health insurance
- Hybrid work
- Internal mobility opportunities
- Learning and development opportunities
- Paid time off
- Parental leave
- Peer recognition programs
- Public transport coverage
- Remote work up to 2 days per week
- Teleconsultation and second medical opinion
- Wellness programs
Skills/Tech-stack
AWS | Airflow | CI/CD | DBT | Data Modeling | Data Quality | Data Warehousing | Data pipeline | Data pipeline orchestration | ELT | ETL | Git | GitHub Actions | Infrastructure as Code | Pipeline Orchestration | Python | SQL | Snowflake | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer
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