Lead Engineer, Big Data
Tasks
- Apply version control automated testing peer review release management monitoring
- Build modular configuration driven solutions
- Build reusable frameworks for rule execution validation testing auditing and workflow orchestration
- Collaborate with compliance and audit teams for regulatory requirements
- Create metadata driven platforms for governed changes
- Design deterministic workflow and decision engines
- Design operational analytics platforms for risk adjustment
- Develop Python and SQL solutions for analytics platforms
- Develop tooling for analyst safe platform extensions
- Implement artificial intelligence capabilities to improve productivity and decision making
- Optimize platform performance for growing data volumes
- Own full software engineering lifecycle
- Partner with risk adjustment analysts to improve workflows
- Serve as primary analytics engineering partner for risk adjustment
- Translate operational processes into configurable systems
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Auditability | Automated testing | Azure Databricks | Business Rules | Cloud analytics | Decision engine | Deterministic processing | Generative AI | Incident Response | Metadata Driven | Metadata-Driven Development | Monitoring | Python | SQL | State machines | Version control | Workflow Orchestration
Education
N/A
Roles
Analytics Engineer | Engineer | Lead | Lead Analytics | Lead Analytics Engineer
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