Job title: Architect (ETL, Cloud, Microservices, Kafka, DevOps, Open Source, Springboot, Integration)
Job Location: Minneapolis, MN
Work Model: Remote
Shift: Day
Project Duration: 12 months
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