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Field
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with Linux, Docker, MongoDB, PostgreSQL, and Opal technologies; - Experience with CI/CD methodologies and technologies; - Software development experience based on JavaScript (ReactJS, NodeJS) and Python
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of experience with relational databases (polars, pandas, SQL, PostgreSQL, etc.) Proficiency in git branch-merge collaboration, as demonstrated through portfolios or contributions to open-access projects. Graduate
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-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
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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
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REST-based systems web-based front-end development (esp. typescript, vuejs, webGL) experience (theory & practice) with relational databases (esp. PostgreSQL) strong interest (ideally experience) in
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scalable relational database and data warehouse solutions. Strong proficiency in: SQL across major relational database platforms (SQL Server, PostgreSQL, Oracle, or similar). Python for data pipeline
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(MS SQL Server/PostgreSQL/MySQL), NoSQL (MongoDB, Redis) API design (RESTful), authentication (OAuth2, JWT), containerization (Docker) Engineering Excellence Strong fundamentals: clean code, design
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Resource Manager) Knowledge of MySQL, MSSQL, PostgreSQL, and non-SQL data stores Experience with monitoring tools (IRIS, NetScout, Grafana, SolarWinds Orion) Working knowledge of core Internet protocols and
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, or JavaScript. Web Tech: Strong understanding of contemporary web architectures (Angular, CSS, XML, HTML5). Data: Deep experience with relational databases (Oracle, PostgreSQL, MySQL) and query optimization
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. Design, develop, and maintain Ruby on Rails applications with complex relational database backends (Oracle, PostgreSQL, etc.), selecting technologies (Ruby, Rails, PHP, CSS, HTML, JavaScript, SQL, XHTML