Sr. Geospatial Developer

Job Summary: We are seeking a highly skilled Geospatial Sr. Developer with 8 to 10 years of experience in Java development. The ideal candidate will have expertise in XML, JDBC, Spring Boot, Java, Maven, JSON, GIT, and Linux. This role requires a dedicated professional to contribute to our innovative projects and drive impactful solutions.

Responsibilities:

- Develop and maintain geospatial applications using Java and related technologies.

- Implement and optimize XML and JSON data processing for geospatial data.

- Utilize JDBC for database connectivity and ensure efficient data retrieval.

- Design and develop Spring Boot applications to support geospatial services.

- Manage project dependencies using Maven and ensure smooth build processes.

- Collaborate with team members using GIT for version control and code management.

- Deploy and manage applications on Linux environments.

- Troubleshoot and resolve issues related to geospatial data and applications.

- Provide technical guidance and support to junior developers.

- Ensure code quality and maintain best practices in software development.

- Conduct code reviews and contribute to continuous improvement.

- Stay updated with the latest trends and technologies in geospatial development.

- Work in a hybrid model, balancing remote and on-site work effectively.

- Collaborate with cross-functional teams to deliver high-quality solutions.

- Contribute to the companys mission by developing innovative geospatial solutions that impact society positively.

Qualifications:

- Must have strong experience in Java development and geospatial applications.

- Should have expertise in XML and JSON data processing.

Must be proficient in JDBC for database connectivity.

- Should have hands-on experience with Spring Boot.

- Must be familiar with Maven for project management.

- Should have experience with GIT for version control.

- Must be comfortable working in a Linux environment.

- Should have excellent problem-solving and troubleshooting skills.

- Must have good communication and collaboration abilities.

- Should be able to work independently and as part of a team.

- Must be detail-oriented and committed to delivering high-quality work.

- Should be adaptable to a hybrid work model.

- Must have a passion for geospatial technologies and their applications.