Lead Data Engineer (Platform)
Tasks
- Automate manual and repetitive processes
- Build reusable patterns and templates
- Conduct code and design reviews
- Create documentation and developer guides
- Define and evolve platform architecture
- Design scalable data engineering frameworks
- Develop AI engineering assets
- Enforce testing code quality deployment documentation standards
- Implement CI/CD pipelines and automation frameworks
- Integrate AI-assisted development tools
- Investigate and resolve deployment and production incidents
- Lead development and support data transformation frameworks
- Monitor platform health performance and adoption
- Provide technical point of contact for platform queries
- Support onboarding and enablement for platform tooling
Perks/Benefits
- Hybrid work options
- International mobility
- Learning opportunities
- Professional development
- Remote work options
- Training access
Skills/Tech-stack
AWS | Alerting | Apache Spark | Azure DevOps | CI/CD | DBT Core | Data Quality | Databricks | Git | GitHub Actions | GitLab CI | Integration Testing | Logging | Monitoring | Python | SQL | Technical documentation | Terraform | Unit Testing
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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