Manager, Data Engineering
Tasks
- Build AI ready governed datasets
- Design data models and schemas
- Design, build and maintain ETL/ELT pipelines
- Drive automation and self service patterns
- Enable scalable secure ML AI data pipelines
- Enforce engineering standards and documentation
- Ensure responsible AI lineage monitoring auditability
- Implement data quality validation monitoring audit controls
- Lead data engineering team
- Manage mission critical dataset lifecycle
- Oversee secure data pipelines and architectures
- Partner with cross-functional teams for data solutions
- Resolve complex technical escalations
- Support machine learning feature and training datasets
- Support privacy by design and PHI security
- Translate stakeholder needs into delivery roadmap
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Functions | Azure Synapse | Azure Synapse Analytics | By Design | CI/CD | Data Factory | Data Governance | Data Lake | Data Lake Storage | Data Lineage | Data Modeling | Data Quality | Data Validation | Data Warehousing | Databricks | DevOps | ELT | ETL | HIPAA | Integration Services | MS SQL | MS SQL Server | Monitoring | Orchestration | Pandas | Privacy by Design | PySpark | Python | SQL Server | SQL Server Integration Services | SQL Server integration | Server Integration Services | Synapse Analytics | Version control
Education
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