Data Platform Engineer III
Tasks
- Apply data governance lineage metadata security controls
- Build secure scalable data platforms and lakehouse solutions
- Deliver trusted governed datasets for reporting and AI initiatives
- Design data pipelines for ingest transform load
- Develop ETL ELT pipelines and orchestration
- Develop SQL Python and PySpark reusable components
- Implement CI CD source control deployment automation
- Implement integration patterns using APIs event driven and file based
- Implement medallion and lakehouse design patterns
- Mentor junior engineers and provide technical guidance
- Monitor platform health performance and utilization
- Set up monitoring logging alerting and observability
- Support Azure and AWS data and infrastructure services
- Support Microsoft Fabric lakehouse and warehouse
- Support Power BI integration and refresh optimization
- Troubleshoot data pipeline integration and performance issues
Perks/Benefits
- 401k employer match
- Dental insurance
- ESPP
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
APIs | AWS Lambda | Agile | Amazon RDS | Amazon S3 | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Functions | Azure Key Vault | Azure Monitor | Azure SQL | Azure SQL Database | BI Gateway | CI/CD | CloudWatch | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Security | Data Warehousing | Dimensional Modeling | Direct Lake | EC2 | ELT | ETL | Event Driven | Event-driven architecture | IAM | Key Vault | Lakehouse Architecture | Logic Apps | Metadata Management | Microsoft Fabric | Observability | OneLake | Orchestration | Power BI | Power BI Gateway | PySpark | Python | SQL | SQL Database | Semantic Modeling | Star Schema | Synapse Pipelines
Education
Roles
Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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