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GeoSpatial Developer Java 2. Job Summary : As a GeoSpatial Developer specializing in Java, you will play a crucial role in developing and optimizing geospatial applications. With 8 to 12 years of experience, you will leverage your expertise in Python, Scala, Spark, and PySpark to deliver high-quality solutions. Working in a hybrid model, you will collaborate with cross-functional teams to enhance the companys geospatial capabilities, contributing to impactful projects that benefit society. 3. Experience : 8 - 12 years 4. Required Skills : Technical Skills: Python,Scala,Spark Pyspark,PySpark Domain Skills: 5. Nice to have skills : Domain Skills: 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : - Develop and maintain geospatial applications using Java to meet project requirements and enhance user experience. - Collaborate with cross-functional teams to design and implement scalable geospatial solutions. - Utilize Python, Scala, Spark, and PySpark to process and analyze large geospatial datasets efficiently. - Optimize geospatial data workflows to improve performance and reduce processing time. - Ensure the accuracy and quality of geospatial data by implementing robust validation processes. - Provide technical guidance and support to team members on geospatial development best practices. - Integrate geospatial applications with existing systems to ensure seamless data flow and functionality. - Conduct thorough testing and debugging of geospatial applications to ensure reliability and stability. - Stay updated with the latest geospatial technologies and trends to drive innovation within the team. - Document geospatial application development processes and maintain comprehensive technical documentation. - Collaborate with stakeholders to gather requirements and translate them into technical specifications. - Contribute to the continuous improvement of geospatial development processes and methodologies. - Support the companys mission by delivering geospatial solutions that have a positive impact on society. Qualifications - - Possess strong proficiency in Java for geospatial application development. - Demonstrate expertise in Python, Scala, Spark, and PySpark for data processing and analysis. - Have experience in developing scalable and efficient geospatial solutions. - Show ability to work collaboratively in a hybrid work model. - Exhibit strong problem-solving skills and attention to detail. - Have excellent communication skills to interact with cross-functional teams. - Be committed to staying updated with the latest geospatial technologies.