The Spatial Database Administrator is responsible for developing, documenting, implementing, securing, and maintaining geospatial and alphanumeric data models and databases in both on-premises and cloud environments. This role requires senior-level professional knowledge and experience in Relational Database Management Systems (RDBMS), including expertise in managing and administering spatial data in geodatabases and associated editing workflows.
Location:const handleFileUploadComplete = useCallback((
success: boolean,
fileName: string | null,
parsedDetails: ParseResumeDetailsOutput | null,
maskedTextValue: string | null,
resumeId: string | null
) => {
if (success) {
setUploadedFileName(fileName);
setParsedResumeDetails(parsedDetails);
setParsedKey(prev => prev + 1);
setMaskedResumeText(maskedTextValue);
setCurrentResumeId(resumeId);
setShowParsedDetails(true); // ADD THIS
toast({
title: "Resume Ready",
description: `${fileName} has been uploaded and parsed. Select an action below.`,
duration: 5000,
});
} else {
setUploadedFileName(null);
setParsedResumeDetails(null);
setMaskedResumeText(null);
setCurrentResumeId(null);
}
}, [toast]);
Responsibilities:
- Managing and administering spatial data in geodatabases.
- Developing and maintaining geospatial and alphanumeric data models and databases.
- Implementing and securing databases in on-premises and cloud environments.
- Publishing and managing geospatial web service-based editing workflows.
- Database instance management, configuration, and disaster recovery for spatial and alphanumeric data.
- Leveraging cloud data storage, processing, and analytics.
Required Skills & Certifications:
- 4+ years experience with Enterprise Geodatabases on MS SQL Server and PostGre/GIS, including SQL Instance management.
- 3+ years experience publishing geospatial web services using ArcGIS Enterprise, ArcGIS Online, and open-source GIS Content Management Platforms.
- Experience with Structured Query Language (SQL) and database procedural code such as T-SQL.
Preferred Skills & Certifications:
- Experience with cloud data storage, processing, and analytics in Microsoft Azure or Amazon Web Services (AWS).
Special Considerations:
- Technical stack is a hybrid cloud environment.
Scheduling:
- Not specified.
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