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Back End Developer
3 weeks ago
Job Title: GeoData Management Software Development Lead Engineer
Company Overview: A stealth mode Space Software Startup, building innovative geodata management solutions. Our mission is to revolutionize the way geospatial data is collected, managed, analyzed, and utilized. We are seeking a talented and experienced GeoData Software Development Lead Engineer to join our dynamic team and lead the development of innovative geo data-related software solutions.
Job Description: As a GeoData Software Development Lead Engineer, you will be responsible for leading the design, development, and implementation of geo data-management-related software solutions. You will collaborate with cross-functional teams to ensure the successful delivery of high-quality products that meet the needs of our customers. This role requires hands-on experience with vector and raster data, expertise in data indexing, query, and search planning/execution, as well as proficiency in distributed data management and storage management.
Responsibilities:
Lead the design, development, and implementation of geo data-related software solutions.
Work with cross-functional teams to understand customer requirements and translate them into technical specifications.
Hands-on working with vector and raster data, preferably in a geospatial/temporal context.
Design and implement data indexing, query, and search strategies to optimize performance and scalability.
Manage distributed data effectively, ensuring reliability, availability, and fault tolerance.
Develop storage management solutions to ensure data resilience and efficient storage utilization..
Collaborate with product management to define product roadmaps, prioritize features, and plan development sprints.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
6+ years of experience in software development, preferably with a focus on geo data-related projects.
Proficiency in programming languages such as Golang, Python, or C++.
Experience with geospatial libraries and tools such as GDAL, GeoPandas, PostGIS, etc.
Strong understanding of data indexing, query optimization, and search planning/execution.
Hands-on experience with distributed data management frameworks such as Hadoop, Spark, or Elasticsearch.
Knowledge of storage management techniques, including data resilience, replication, and backup strategies.
Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
Strong communication and leadership skills, with the ability to effectively collaborate with cross-functional teams.
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