IT Data & Analytics Engineer - Office of Judicial Administration
Tasks
- Administer Azure Data Lake Storage and Databricks
- Build data ingestion pipelines using Azure Data Factory
- Build semantic models KPIs and business logic
- Collaborate with infrastructure security application and PMO teams to ensure reliable data movement
- Contribute to service agreements and governance deliverables
- Maintain metadata tables and pipeline monitoring
- Prepare curated datasets for dashboard developers and analysts
- Support data quality metadata glossary and classification
- Support medallion architecture Bronze to Silver to Gold
- Troubleshoot SQL Server analytic and operational workloads
Perks/Benefits
Skills/Tech-stack
Access Management | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Key Vault | CI/CD | Data Cataloging | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Databricks | DevOps | ELT | ETL | Git | Identity & Access | Identity & Access Management | Infrastructure as Code | Key Vault | Machine Learningflow | Metadata Management | Networking | Oracle | PostgreSQL | Power BI | Powershell | Python | RAG | Retrieval-Augmented Generation | SQL | SQL Server | Vector Search | “as-code”
Education
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