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Good knowledge of Databricks, Snowflake, Azure / AWS / Oracle cloud, R, Python. Cloud experience in AWS or Azure with Databricks experience is desirable. Hands on experience with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure.
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Ideally you will have worked with AWS cloud based infrastructure and Kubernetes. FanDuel is looking for a DevOps Engineering Manager to join our Sportsbook Channels domain and manage the DevOps Team which is building our future DevOps infrastructure and culture ensuring automated, fast and responsible code delivery.
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Proficiency with Google tools (Docs, Sheets) and Microsoft apps, including Excel, Word and most notably strong skills with PowerPoint. Diversity, equity, and inclusion sits at the heart of our Social Impact strategy – our fully integrated sustainability strategy which includes our ambition to build a fair and more equal society, where everyone is equipped to thrive.
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It provides tools and services that enable individuals, small businesses, and enterprises to create, publish, promote, manage and monetise their content anywhere through the Adobe Creative Cloud and Document Cloud.
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Strong technical background in API architecture, cloud technologies, and digital transformation. Strong technical background in API architecture, cloud technologies, and digital transformation.
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Strong technical background with a deep understanding of cloud technologies and platforms (e.g., AWS, Azure, Google Cloud). User Experience (UX) Design: Partner with UX/UI designers to create intuitive and engaging user experiences that drive customer satisfaction and adoption of cloud software products.
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Docker/Kubernetes – advantageous ) Developing online, cloud based SaaS products. MongoDB, SQL, Postgres & Snowflake (advantageous) This is an exceptional new position for a talented Python Developer with a global Data Analytics company who have developed an independent platform which provides both management and measurement of converged TV campaigns.
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Containerisation exposure is advantageous (Docker, Kubernetes etc). Containerisation exposure is advantageous (Docker, Kubernetes etc). Due to the constant growth, we are supporting to find an experienced IT Infrastructure Specialist to join the Edinburgh office on a hybrid basis.
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Proven experience with one or more Cloud Services provider, e.g. AWS, Azure or Google Cloud Platform. Experience of migrating data from legacy on-prem systems to cloud architectures.
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Cloud experience (Azure/AWS/GCP) Front End Vue.js Developer - Fully Remote. You will get the chance to utilise the latest versions of Vue.js, Javascript, Azure, cross-train into different tech and always follow best practice such as TDD / Unit Testing / CI/CD.
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You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.
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Experience in the Analytics field; including hands on technical implementation including using technology such as Google Tag Manager, GA4, BigQuery, Looker studio, DV360 and SA360. Implement and configure Google Analytics 4 and 360, to track key performance metrics and user interactions.
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As a Data Engineer at Storm you will work alongside other software and cloud infrastructure engineers to design, build and maintain data pipelines, data management solutions and analytics components for our client’s projects across the healthcare, justice and local government sectors.
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Working knowledge of other cloud-based security platforms which complement the IdP landscape, i.e., Entra, zScaler, Crowdstrike, etc. Okta Workforce Identity Cloud – be experienced with all aspects of Okta design, configuration, administration and support.
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Docker, Cypress, AWS, CI/CD pipelines. Component Sense, established in 2001, is a rapidly growing company within the electronics industry, on a mission to lead electronic manufacturers towards zero waste.
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google cloud docker jobs in Edinburgh, Scotland, United Kingdom
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