Senior Data Engineer
Tasks
- Architect provision gcp data infrastructure
- Build data observability dashboards alerting
- Build optimize data models
- Design ETL/ELT pipelines
- Design data lake and lakehouse patterns
- Develop streaming real time pipelines
- Drive CI/CD practices for data pipelines
- Enforce data governance data lineage access controls
- Ensure HIPAA HITECH compliance
- Establish testing standards for pipelines
- Implement data masking deidentification audit logging
- Implement data quality validation frameworks
- Implement orchestrate data workflows
- Integrate normalize clinical datasets
- Mentor junior data engineers code reviews
- Optimize cloud resource usage
- Partner with data science and ML teams
Perks/Benefits
Skills/Tech-stack
AWS Kinesis | Access Control | Apache Airflow | Apache Kafka | Audit Logging | BigQuery | CI/CD | Cloud Pub/Sub | DBT | Dagster | Data Catalog | Data Contracts | Data Deidentification | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Vault | Data masking | Dimensional Modeling | Docker | Google Cloud | Google Cloud Pub/Sub | HIPAA | HL7 FHIR | Infrastructure as Code | Infrastructure provisioning | Integration Testing | Kubernetes | Prefect | Pub/Sub | Python | Redshift | SQL | Snowflake | Terraform | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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