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Field
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leadership skills, and the ability to function in a team environment are required. Preferred Qualifications A Master’s Degree in a related field is preferred. Experience with PostgreSQL, relational database
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PostgreSQL and other relational systems. Processing large-scale data exports & file-based ingestion (e.g., S3, Azure Blob, SFTP, etc.) and mastering data into unified analytical models. Supporting
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TypeScript with a modern frontend framework (Svelte preferred; React or Vue acceptable). Production experience with PostgreSQL, including row-level security. Good understanding of Machine Learning
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advanced skills in at least one of these languages. Knowledge of web applications, REST API, microservices, and containers. Knowledge of Elasticsearch, PostgreSQL, Spark, Hadoop, and data analysis. Knowledge
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geospatial data models and interoperable formats, - Strong skills in data management and structuring (using languages such as UML or ontologies), - Proficiency in databases (SQL language, PostgreSQL/PostGIS
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Server, MongoDB, and PostgreSQL), as well as modern software development tools and practices, including IDEs, source control, command-line tools, code quality tools, and deployment technologies such as
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and visualization Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI Software Development tools to include Git, Docker, Kubernetes, SSH
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frameworks, with a preference for React.js. • Proficiency in Python and experience with backend frameworks such as FastAPI, Flask, or Django. • Familiarity with relational databases (e.g., PostgreSQL
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, production-grade software used across St. Jude. Design and implement RESTful APIs, web interfaces, and PostgreSQL-backed data systems for managing large, multidimensional imaging datasets (3D/4D/5D, terabyte
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database-backed applications (e.g., PostgreSQL, MySQL). Extensive experience using network and security analysis tools. Extensive experience with intrusion detection and prevention – host and network, active