Sr Data Engineer
Tasks
- Build and integrate data pipelines using APIs and event driven workflows
- Coordinate data migrations and system updates
- Create and maintain system architecture documentation
- Design and optimize data models and schemas
- Develop and maintain end-to-end data pipelines
- Evaluate vendor solutions using build vs buy criteria
- Implement data quality checks and validation rules
- Lead proof of concept evaluations for new tools
- Manage technical documentation and operational runbooks
- Monitor system health and data quality
- Plan integration and production deployment after proof of concept
- Provide feasibility assessments and effort estimates
- Support ad hoc data extracts and analysis
- Support production operations and troubleshoot pipeline issues
- Translate business requirements into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Access Control | Agile | Azure | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Security | Event Driven | Event-driven architecture | Privacy | Project Management | Python | REST | SQL
Education
N/A
Roles
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