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Field
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& Operations • Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance. • Maintain CI/CD
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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
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, or equivalent. Strong knowledge of systems andnetworking software, hardware, and networking protocols. Experience in supporting Oracle, MySQL, and PostgreSQL database environments. Advanced skills in creating and
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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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management platforms, such as MuleSoft or Boomi (Mulesoft preferred) Open-source database technologies: PostgreSQL, MySQL, MongoDB, Oracle, etc. Information Security standards and frameworks Working in a Scrum
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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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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