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Field
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. Technical Environment: Demonstrated confidence working in a Linux/Unix command-line environment. Tools and Databases: Experience with Docker or other container technologies, and familiarity with PostgreSQL
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or NoSQL) Preferred Qualifications: Exposure to geospatial tools/data (e.g., PostgreSQL/PostGIS, GDAL) Exposure to cloud or container technologies (e.g., Docker, Docker Compose, Kubernetes) Understanding
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this role, your main responsibilities will be: Developing, deploying, and maintaining solutions that empower education and research, using technologies like FastAPI, React.js, Node.js, PostgreSQL, and Traefik
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
relational databases such as SQL Server, Oracle, PostgreSQL, or similar platforms. Solid understanding of data warehousing, ETL/ELT design patterns, dimensional modeling, data lake/lakehouse concepts, and
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experience using Java, including Spring Boot. Strong experience with ReactJS or Angular. Experience working with MySQL, PostgreSQL and other database technologies. Experience developing automated tests and
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management systems (e.g. SQL Server, PostgreSQL, MySQL) and supporting database governance, optimisation or reporting activities. F3 Experience of leading or supporting data migration, systems integration
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systems, such as HDF5, Zarr, MongoDB, PostgreSQL, MySQL, and Redis Experience with Neurodata Without Borders, LinkML, or similar software ecosystems Experience working with large biological data, such as in
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in database systems, including: Relational databases (e.g., PostgreSQL / SQL) Graph databases (e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing environments (e.g., Azure, AWS
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., PostgreSQL / SQL) Graph databases (e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents), including containerized or scalable ML
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builds and maintains cloud database infrastructure and automates database processes for the UT data ecosystem. It covers database and system administration across Oracle, PostgreSQL, and Databricks, and