PAHO Consultant - Data, Analytics, and AI (ITS)
Tasks
- Build ingestion and transformation pipelines using Data Factory and Dataflows Gen2
- Design dimensional and semantic models including star schema and slowly changing dimensions
- Develop DAX measures and certified datasets
- Establish platform baseline and engineering standards for Fabric
- Implement Row-Level Security and Object-Level Security
- Implement medallion bronze silver gold data architecture with quality controls
- Investigate incidents and recurring failures and document root cause
- Maintain backup resiliency and recovery for OneLake artifacts
- Maintain integrations with Workday PMIS Salesforce and SharePoint
- Manage deployment pipelines with Git integration and environment promotion
- Monitor job execution refreshes query performance failures and costs
- Operate Microsoft Fabric capacities and tenant settings
- Optimize capacity utilization consumption and cost using Fabric Capacity Metrics App
- Perform data quality reconciliation validation and lineage controls
- Review architecture against Microsoft reference architecture and document technical debt
Perks/Benefits
- N/A
Skills/Tech-stack
Active Directory | Azure Active Directory | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure SQL | Azure SQL Managed Instance | CI/CD | DAX | Data Factory | Data Lake Storage | Data Lineage | Data Modeling | Data Quality | Dataflows Gen2 | Direct Lake | Git | Lakehouse | Managed Instance | Microsoft Fabric | Notebooks | Object-Level Security | OneLake | Performance Tuning | Power BI | Row Level Security | SQL | SQL Managed Instance | SQL Performance | SQL Performance Tuning | Semantic models | Slowly Changing Dimensions | Spark | Star Schema | Warehouse
Education
N/A
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