Job Description
Job Summary
This role focuses on designing, building, and optimizing cloud-native and hybrid software solutions that support large-scale scientific data processing, workflows, and archival systems. The position plays a critical role in enabling researchers worldwide to efficiently access, analyze, and manage complex datasets generated by major space science missions.
The role requires deep expertise in Python development, ETL pipeline design, and cloud infrastructure. You will work closely with scientists and engineers to deliver scalable, secure, and reliable systems that integrate cloud and on-premises environments while supporting mission-critical data operations.
Key Responsibilities
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Design, develop, and maintain cloud-native applications and hybrid architectures for large-scale data processing and archival systems
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Build and optimize ETL data pipelines using Python and workflow orchestratio...
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