Senior GeoSpatial Analyst – Java & Microservices

Cloudious

  • India
  • Permanent
  • Full-time
  • 2 days ago
  • Apply easily
NEED TO BE ON OUR PAYROLLMin 8 Max 10Primary Location India Region-India-Tamil Nadu-ChennaiDescriptionJob summaryWe are seeking a highly skilled GeoSpatial Sr. Analyst for our MAP team with 8 to 10 years of experience. The ideal candidate will have expertise in Spring Boot Microservices and Java. This hybrid role requires a professional who can work effectively during day shifts and does not require travel. The candidate will play a crucial role in analyzing geospatial data and developing innovative solutions to support our companys objectives.Responsibilities
  • Analyze and interpret complex geospatial data to support business decisions.
  • Develop and maintain geospatial applications using Spring Boot Microservices and Java.
  • Collaborate with cross-functional teams to design and implement geospatial solutions.
  • Ensure the accuracy and quality of geospatial data through rigorous testing and validation.
  • Provide technical support and troubleshooting for geospatial applications.
  • Optimize geospatial data processing workflows for efficiency and performance.
  • Create detailed documentation for geospatial applications and processes.
  • Stay updated with the latest trends and technologies in geospatial analysis.
  • Conduct regular reviews and updates of geospatial data to ensure relevance and accuracy.
  • Mentor and guide junior analysts in geospatial data analysis and application development.
  • Participate in code reviews to maintain high standards of code quality.
  • Work closely with stakeholders to understand their geospatial data needs and provide tailored solutions.
  • Contribute to the continuous improvement of geospatial analysis methodologies and tools.
Qualifications
  • Possess a strong background in Spring Boot Microservices and Java.
  • Have a minimum of 8 years of experience in geospatial data analysis and application development.
  • Demonstrate excellent problem-solving skills and attention to detail.
  • Exhibit strong communication and collaboration skills.
  • Show proficiency in geospatial data processing and analysis tools.
  • Have experience in developing and maintaining geospatial applications.
  • Be able to work effectively in a hybrid work model.
  • Display a commitment to continuous learning and professional development.

Cloudious

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