Integrant
تتقدّم على Integrant بعد تسجيل الدخول، والحساب مجاني.
كما كتبها صاحب العمل، دون ترجمة.
We're on the lookout for exceptional individuals to join our team as Senior Lead Data Engineers – Databricks. As part of our team, you'll play a key role in designing and delivering modern, scalable data platforms for clients across multiple industries, leveraging Azure and Databricks technologies.
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Master Works seeking a Data Availability, Senior Specialist to support the effective management, accessibility, and availability of organizational data. The role will contribute to data management initiatives, assess compliance with relevant data requirements, and support projects that enhance data
Main responsibility for designing, developing, executing, and maintaining automated test scripts to ensure the quality, reliability, and performance of software applications. collaborating closely with developers, QA engineers, product owners, and DevOps teams to integrate automated testing into the
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include
See something that should exist? Build it. See a better way? Do it. At Terrific, every role directly impacts how we grow from product to revenue to customer experience. We’re building the next generation of social commerce through live shopping powered by real-time data and AI. And we believe
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers
Join a fintech data products team in a hybrid data science and ML infrastructure role. You will build production models and establish the evaluation, deployment, and monitoring foundations that help ML systems remain reliable as they scale. What You'll Do - Define and evolve practices for