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Skills
Agile Programming Methodologiesunmatched
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Data Analysisunmatched
Data Qualityunmatched
Financial Servicesunmatched
Metadataunmatched
Microsoft Product Familyunmatched
Microsoft Windows Azureunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Reporting Dashboardsunmatched
Technical Writingunmatched
Description
Job Description
Must Have Technical/Functional Skills
5+ years' experience in data engineering, analytics engineering, or data governance
3+ years Hands-on production experience implementing and configuring Microsoft Purview components including Collections, Scanners, Metadata catalog, Classifications, Glossary, and Lineage
Demonstrated ability to maintain and enhance existing Purview deployments by resolving scan, lineage, and metadata issues
Experience developing automation using Microsoft Purview REST APIs and SDKs
Experience with Purview Data Quality including profiling, rules, thresholds, and monitoring
Experience with Purview Workflow for approval processes and governance automation
Ability to build custom Fabric reports and dashboards using data from Microsoft Purview
Ability to implement solutions that enable AI-driven insights and automation
Strong knowledge of Azure and AWS data services
Proficiency in Python
Roles & Responsibilities
Ability to maintain and enhance existing Purview deployments by resolving scan, lineage, and metadata issues
Developing automation using Microsoft Purview REST APIs and SDKs
Purview Data Quality including profiling, rules, thresholds, and monitoring
Generic Managerial Skills, If any
Senior Data Governance Engineer (Microsoft Purview) with deep, hands-on experience implementing and operating Microsoft Purview in enterprise data environments.
Key Words to search in Resume
Agile experience
Financial services tech experience is plus
Ability to document technical implementations clearly for technical and non-technical audiences
Experience working embedded with data engineering and governance teams