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No of position :- ( 1 )
Post :- 28th Jun 2024
- Lead the development and implementation of geospatial data solutions using Google BigTable and AWS Machine Learning.
- Oversee the integration of Docker and Kubernetes for efficient deployment and management of geospatial applications.
- Provide expertise in MongoDB for handling large-scale geospatial datasets.
- Collaborate with cross-functional teams to design and optimize geospatial data models.
- Ensure the accuracy and reliability of geospatial data through rigorous testing and validation.
- Develop and maintain documentation for geospatial data processes and workflows.
- Implement best practices for data security and privacy in geospatial applications.
- Conduct performance tuning and optimization of geospatial data queries and processes.
- Mentor junior engineers and provide technical guidance on geospatial data projects.
- Stay updated with the latest advancements in geospatial technologies and incorporate them into the companys solutions.
- Work closely with stakeholders to understand their geospatial data needs and deliver actionable insights.
- Contribute to the development of geospatial data standards and policies within the organization.
- Drive innovation by exploring new geospatial data sources and analytical techniques.
-Qualifications - Possess a deep understanding of Google BigTable and its application in geospatial data solutions.
- Demonstrate proficiency in AWS Machine Learning for geospatial data analysis and modeling.
- Have extensive experience with Docker and Kubernetes for containerization and orchestration of geospatial applications.
- Show expertise in MongoDB for managing and querying large-scale geospatial datasets.
- Exhibit strong problem-solving skills and the ability to work collaboratively in a team environment.
- Display excellent communication skills to effectively convey technical concepts to non-technical stakeholders.
- Hold a degree in Computer Science, Geospatial Science, or a related field.