Principal Data/AI Engineering
Tasks
- Architect and build secure microservices
- Architect scalable data and AI solutions
- Build data pipelines
- Design testing strategies
- Develop data and AI applications
- Develop secure scalable APIs
- Ensure data integrity and quality
- Evaluate and select cloud and on prem technologies
- Implement API documentation and version control
- Lead CI CD automation and version control
- Lead high-impact projects
- Mentor team members
- Monitor scalability and performance
- Optimize cost and resource utilization
- Optimize performance and reliability
- Oversee deployments and troubleshoot issues
- Translate Data and AI use cases into data models
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Disability benefits
- Employee Assistance Programs EAP
- Employee discounts
- Employee wellness programs
- Life and accidental death insurance
- Medical, dental & vision coverage
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
Amazon Web Services | Apache Kafka | Apache Spark | Automation | Azure | CI/CD | Cloud platform | Data Modeling | Data Pipelines | Databricks | Google Cloud | Google Cloud Platform | GraphQL | Java | Microservices | Python | REST | SQL | Scala | Secure APIs | Snowflake | Statistical Analysis | Version control | Web Services
Education
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