Lead Data Engineer (Platform)
Tasks
- Automate manual engineering processes
- Build reusable data platform patterns
- Conduct code and design reviews
- Create developer documentation and enablement materials
- Define platform architecture decisions
- Design scalable data engineering frameworks
- Develop AI engineering assets
- Enforce engineering standards for testing and code quality
- Ensure platform security and compliance
- Implement CI/CD pipelines
- Integrate AI-assisted development tools
- Investigate and resolve production incidents
- Lead data transformation frameworks operations
- Monitor platform health and performance
- Partner with teams to improve platform tooling
- Provide technical leadership for platform queries
- Support onboarding and enablement
Perks/Benefits
- Career advancement
- Certification reimbursement
- Growth framework
- Internal workshops
- International mobility
- Learning initiatives
- Maternity and paternity leave support
- Medical insurance
- Mentoring program
- Multisport card OR Multikafeteria
- National holidays covered
- Paid vacation
- Professional community participation
- Professional development programs
- Remote and hybrid work options
- Sick leave
Skills/Tech-stack
AWS | Alerting | Apache Spark | Azure DevOps | CI/CD | DBT Core | Data Quality | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Git | GitHub Actions | GitLab CI | IAM | Infrastructure as Code | Integration Testing | Lakehouse | Logging | Monitoring | Prompt engineering | Python | SQL | Secrets management | Terraform | Unit Testing | Unity Catalog | Version control | “as-code”
Education
N/A
Roles
Data Engineer | Data Engineering | Data Engineering Lead | Engineer | Engineering Lead | Lead | Lead Data | Lead Data Engineer
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