Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 1 Year(s)
Skills
Google Cloud Platform
Geodatabases
Geographic Information System
Geospatial Analysis
Google Cloud
Data Processing
Data Storage
Database
Cloud Architecture
Cloud Computing
Hosting
IaaS
Management
Mapping
Clustering
Collaboration
Microsoft SQL Server
Performance Tuning
PostGIS
PostgreSQL
Python
Data Flow
Functional Requirements
GDAL
Microsoft Azure
Oracle
RESTful
Amazon EC2
Amazon Web Services
Analytics
ArcGIS
ArcGIS Server
Esri
API
Regression Analysis
SOAP
Scalability
Scripting
Servers
Software Design
Spatial Analysis
Web Portals
Workflow
Job Details
Hi,
This is Sandeep from Radient.AI and please find the job description below which suits your profile and let us know your interest for this position
PP Num (Except USC) & LinkedIn Mandatory For Submission
Job Title: GIS Lead
Client:
Implementation:
Duration: 6+ Months
Experience level: 12+ Experience
Location: USA (Remote)
GIS Lead:
- Define and implement GIS architectural strategies, ensuring scalability, performance, and alignment with enterprise IT standards.
- Lead the design of enterprise GIS platforms, including system integrations, data flows, and services architecture.
- Experience in design, develop, and deploy GIS applications and tools using Python, including web-mapping applications, data processing pipelines, and automation scripts.
- Cloud Infrastructure Management-Experience to develop and manage scalable cloud infrastructure on platforms like AWS, Azure, or Google Cloud, leveraging services such as EC2, 53, Lambda, and EKS for data storage, processing, and application hosting.
- Spatial Data Handling- Experience to work with geospatial data formats (vector, raster) and manage enterprise geodatabases (e.g., PostgreSQL/PostGIS, SQL Server, Oracle) for efficient spatial data storage and retrieval.
- Experience in Automating GIS workflows using Python libraries (~e*.g., GDAL, GeoPandas, AccP~y)* and perform advanced spatial analysis, including clustering, spatial regression applications.
- Support deployment and performance tuning of GIS servers, portals, and geodatabases.
- Collaborate with stakeholders to define functional and non-functional requirements of GIS solutions.
Integration & Enterprise Collaboration:
- Architect API-based integrations, including RESTful and SOAP services, across GIS and enterprise platforms.
- Work closely with infrastructure, database, and cloud teams to ensure secure and efficient deployments.
good to have
- GIS Architect, ArcGIS Enterprise, ArcGIS Online, Spatial Database, Geospatial Solution Design, REST API, Web Mapping, ArcGIS Server, Geospatial Integration, Esri Technology Stack, GIS Cloud Architecture, Spatial Analytics, GIS Infrastructure, Feature Services, GIS Portal
Thanks & Regards,
Sandeep Siliveru,
Lead Recruiter
Radient.AI
: Our Solution. Your Success !
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