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Field
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data processing pipelines, data loaders, and PostgreSQL-based data management infrastructure Evaluate model performance, document methods, and prepare written and code-based analytical reports (Python
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, or Vue State Management systems (e.g. Pinia) Relational databases, specifically PostgreSQL Preferred Qualifications: Experienced with Vuetify UI library, TypeScript, and GraphQL Excellent written and oral
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, Flask, Spring Boot, Node.js, AngularJS, Express, LeafletJS, ReactJS, VueJS, GeoServer, ArcGIS Server, Ansible, postgresql/postgis. Experienced in today's web application technologies, web infrastructure
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security best practices, including OAuth, token-based authentication, and secure API design. Experience with version control systems (GitHub preferred) Preferred Qualifications Experience with PostgreSQL and
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programming in a university environment. Demonstrated experience with MySQL or PostgreSQL. Exposure to or familiarity with enterprise relational database management systems (RDBMS) such as Oracle
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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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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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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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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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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