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Field
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Forests; and Query languages, PostgreSQL preferred; and (C) 1 semester of coursework, training or experience with applied statistics skills, such as a strong understanding of distributions, ability
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database programming language such as PL/SQL, Transact-SQL, PostgreSQL, etc Willingness and ability to function as part of a dynamic and collaborative team Excellent verbal and written communication skills
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Duties The successful candidate will work with an SQL database running on POSTgreSQL that is created and managed by python scripts and the Django framework, connecting that database to a front end user
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
containerization tools (Docker, Kubernetes), experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase), knowledge of API development, security best practices, and performance optimization, ability
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). Agile methodology, code reviews, test-driven development Cloud platforms (e.g., Amazon Web Services, Microsoft Azure) Relational and non-relational databases (e.g., MySQL, PostgreSQL, Redis, Solr) Linux
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support tasks. Programming Develop backend applications using Java, Spring Boot, and Python to support our fundraising community services. Manage databases with SQL Server and PostgreSQL according to our
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* Programming Develop backend applications using Java, Spring Boot, and Python to support our fundraising community services. Manage databases with SQL Server and PostgreSQL according to our project needs. Handle
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of specific database technologies (e.g., MongoDB, PostgreSQL, ArangoDB, Minio). Notes: Application Deadline: For full consideration, please apply with a resume and cover letter describing your interest in
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PostgreSQL Expertise in configuration management tools such as ansible, puppet, and chef Expertise in orchestration tools such as Terraform Expertise in scripting/programming languages such as Python and
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Preferred: Web development (Javascript, HTML/CSS, .NET, and/or related), SQL database systems (SQL Server, PostgreSQL), C#, cloud computing (Google Cloud), Python, ArcGIS, embedded computing, .NET, Visual