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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform) Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform.
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Strong level of understanding on Azure Synapse, ADLS, and Azure DevOps. 3-5 years of hands-on Data Warehouse architecture and development experience within the Microsoft Azure environment.
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Python; SQL; Azure or AWS. using ML or NLP/LLM modeling to improve data impact and efficiency in Cust Ops. Most of the time data scientists work in teams using collaborative filtering, k-nearest neighbors, market basket analysis and matrix factorization methods.
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Extensive experience with Microsoft Azure and supporting services (DevOps, Kubernetes, etc.) Understanding of Event-Driven Architecture and Azure is a bonus. Net Framework 4.7, PeopleSoft, Mulesoft, Sitecore/CMS.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Familiar with topics like: vscode, async/await, Jenkins, Swagger code generation, bash, FastAPI, pylint. Ciklum is looking for a Senior Test Automation Engineer (Python) to join our team full-time in the Czech Republic.
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Proficiency in Python, SQL, and cloud platforms such as Azure or AWS is required. Proficiency in Python, SQL, and cloud platforms such as Azure or AWS is required. Collaborate in teams using advanced data mining techniques such as clustering, regression analysis, decision trees, and support vector machines.
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As a key member of the SecDevOps-Detection team, the individual will provide senior-advisement on design, implementation, and optimization of Microsoft Azure detection mechanisms and in advising and participating in detection initiatives related to AWS and on-prem OS. The individual s expertise in cloud security, coupled with their deep understanding of the threat landscape and adversary behavior, will play a crucial role in fortifying our organization's resilience against potential risks.
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Production grade data pipelines is built using cutting edge big data technologies on cloud platforms like AWS & Azure using Spark, Airflow, Kafka, Jenkins, various data warehouses, delta lake, python, scala etc to support batch & real time data processing by pulling data from multiple sources, cleansing, normalizing, and landing data into central data storage for reporting systems.
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Practical working knowledge of Microsoft Azure. Develop and update machine learning models including Natural Language Processing. Understanding of architectural, design, and agile patterns and methodologies.
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Proficient with Azure DevOps and/or Team Foundation Server (TFS) Experience working with multiple application and staffing vendors – Broadridge Sentry, S&P Markit EDM, SS&C Geneva experience a plus.
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Experience with modern DevOps tools like Jenkins, Git, Gradle, Nexus, Kubernetes, Kafka. Experience with modern DevOps tools like Jenkins, Git, Gradle, Nexus, Kubernetes, Kafka. Senior Site Reliability Engineer.
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Hands-on experience in Java, Spring MVC/Spring Boot, JPA and Azure DevOps technologies (docker, kubernetes, helm chart etc) Good to have knowledge on Spring integration, Azure Cloud technologies, elastic db, oracle sql, apache cassandra db , post Gress db, helm chart, Fluentd.
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In-depth knowledge of Microsoft Office 365 ecosystem, including expertise in Azure AD, Microsoft Intune (MDM and MAM), EMS, SharePoint, and PowerShell scripting. Demonstrated experience in IT infrastructure, networking, database management, cybersecurity, and cloud computing (AWS, Azure, VMWare.
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Hands-on experience working with Azures PaaS offerings such as Purview, Databricks, Azure Data Lake Storage, Data Factory as well as monitoring of the environments. 10+ years of Experience with AWS/Azure/GCP/OCI public cloud; development and architecture as well as experience with REST APIs to support integration of infrastructure, cloud and platform as a service technology.
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