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Field
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unstructured and semi-structured data from the web into standards-based formats: Scala; Node.js Evaluate and develop data management solutions Data management: SQL (MySQL or PostgreSQL or SQL Server or DB2
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SQL Server or PostgreSQL. This role will have responsibility for databases that underpin the enterprise systems including HR, e-Learning, Student management, SharePoint, and enterprise reporting. Mōu
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CI pipelines. Database experience is preferred, with PostgreSQL and/or MySQL. Bonus points for OpenAPI/Swagger, authentication and authorization patterns, Docker and containerized dev, performance
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, Database, Servers, etc) Expert knowledge of software, database, infrastructure, and platform services. Extensive expertise in database technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB
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with programming languages, e.g. R, Python, SQL, JavaScript Experience with relational database management systems, e.g. MySQL, Microsoft SQL Server, Oracle Database, PostgreSQL Experience with
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. Experience of optimising training/inference of deep learning models. Experience with databases e.g. PostgreSQL, data visualisation and image alignment algorithms. Familiarity with the use of containers e.g
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assessment, industrial ecology, or related system analysis approaches. Experience in one or several of the following will also be valued: Database management software such as PostgreSQL and PostGIS Use of GIS
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relational database systems including Microsoft SQL Server and PostgreSQL. Familiarity with setting up or supporting application hosting environments, including basic server configuration, environment setup
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Engineering, or related field. Demonstrated knowledge in some of the following: C#, Python, JavaScript, C/C++, Java, Robot Operating System(ROS) Database: Oracle, MSSQL, MYSQL, PostgreSQL Source Control: Git
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front-end delivery Advanced PostgreSQL capability including performance optimisation Demonstrated experience embedding governance, lifecycle management and security into AI platforms Experience developing