Principal Data Engineer
Tasks
- Build data pipelines
- Define data requirements and deliver solutions
- Design data architectures
- Develop ETL/ELT workflows
- Develop observability and security practices
- Ensure data quality and governance
- Establish SLAs
- Implement automated testing
- Implement data models
- Improve pipeline performance
- Lead data engineering initiatives
- Manage CI CD and IaC
- Mentor engineers
- Optimize distributed data processing
- Set up monitoring and alerting
- Support ML and AI data workflows
Perks/Benefits
Skills/Tech-stack
AWS Glue | Alerting | Amazon Web Services | Apache Airflow | Automated testing | Azure | CI/CD | Cloud platform | DBT | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Quality | Database optimization | Docker | EHR | ELT | ETL | Google Cloud | Google Cloud Platform | HL7 FHIR | Healthcare | Infrastructure Monitoring | Infrastructure as Code | Kubernetes | LLMs | Machine Learning | Monitoring | Observability | Python | Query Optimization | SQL | Security and Privacy | Snowflake | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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