Architect (7+yrs exp. Needed)

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Apache Kafka
Collaboration
Communication
Conflict Resolution
Data Analysis
Data Validation
Debugging
Decision-making
Docker
Geospatial Analysis
Knowledge Base
Kubernetes
Mentorship
Orchestration
Problem Solving
Real-time
Storage
Streaming
System Integration
Team Building
Testing
Workflow

Job Details

Position: Architect(7+yrs exp. Needed)

Location: remote

Job Summary:

As a Geospatial Sr. Analyst MAP, you will utilize your expertise in Kubernetes, Docker Containers, and Kafka to develop and implement innovative geospatial solutions. You ll work in a hybrid environment, collaborating with cross-functional teams to support data-driven decision-making and deliver impactful geospatial insights.

Required Skills:

Kubernetes

Kafka

Docker Containers

Responsibilities:

Develop and deploy geospatial data solutions using Kubernetes and Docker to optimize workflows.

Integrate Kafka for real-time data streaming and analysis.

Analyze complex geospatial datasets to extract actionable insights.

Design scalable geospatial data architectures for efficient storage and retrieval.

Provide technical expertise in containerization and orchestration.

Implement robust data validation and verification processes.

Conduct testing and debugging to ensure optimal application performance.

Collaborate with stakeholders to understand and address geospatial data needs.

Stay current with emerging geospatial technologies and trends.

Document methodologies and maintain a comprehensive knowledge base.

Mentor junior analysts and support team development.

Lead automation initiatives for routine geospatial tasks.

Coordinate with IT teams for seamless system integration.

Qualifications:

Bachelor s degree in Geospatial Science, Computer Science, or a related field.

Strong understanding of Kubernetes and Docker for application deployment.

Proficiency in Kafka for real-time data handling.

Solid background in geospatial data analysis.

Excellent problem-solving and communication skills.

Experience designing scalable data architectures.

Years of Experience: 7.00 Years of Experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Digitive LLC