GeoSpatial Engineer

1.Job title : GEOSPATIAL ENGINEER MAP 2.Job summary : We are seeking a highly skilled GeoSpatial Engineer with 8 to 12 years of experience to join our team. The ideal candidate will have expertise in GCP Spark ANSI SQL and Python. This role involves developing and maintaining geospatial data solutions that support our companys strategic goals. The candidate will work closely with crossfunctional teams to ensure the accuracy and efficiency of geospatial data processing and analysis. 3.Experience : 8to12Yrs 4.Required Skills : ANSI SQLPythonSparkGCP 5.Nice to have skills : 6.Technology : Not Applicable 7.Shift : Day 8.Responsibilities : Develop and maintain geospatial data solutions using GCP Spark ANSI SQL and Python. Oversee the integration of geospatial data into existing systems and workflows. Provide technical expertise in geospatial data processing and analysis. Collaborate with crossfunctional teams to ensure data accuracy and efficiency. Implement best practices for geospatial data management and storage. Conduct regular data quality assessments and implement improvements. Develop and maintain documentation for geospatial data processes and workflows. Lead the development of new geospatial data products and services. Ensure compliance with industry standards and regulations for geospatial data. Provide training and support to team members on geospatial data tools and techniques. Monitor and optimize the performance of geospatial data systems. Conduct research and stay updated on the latest trends and technologies in geospatial data. Contribute to the companys strategic goals by providing accurate and efficient geospatial data solutions. Qualifications Possess a strong background in GCP Spark ANSI SQL and Python. Demonstrate experience in developing and maintaining geospatial data solutions. Exhibit excellent problemsolving and analytical skills. Show proficiency in data integration and workflow automation. Have a solid understanding of geospatial data management and storage best practices. Display strong communication and collaboration skills. Be capable of conducting data quality assessments and implementing improvements. Have experience in developing documentation for data processes and workflows. Be knowledgeable about industry standards and regulations for geospatial data. Show ability to provide training and support to team members. Demonstrate capability to monitor and optimize data system performance. Stay updated on the latest trends and technologies in geospatial data.