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5+ years of formal leadership of a highly skilled technology organization including large, multi-functional teams in agile portfolios/programs including Kanban, JIRA, and Azure DevOps. Experience in configuration and migration of services within distributed, Cloud-Based and On-Premises environments including GCP, AWS and Azure.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Involvement in building Infrastructure as Code (IAC)Willingness and the ability to pick up and learn new coding languagesDeep understanding of security, reliability, performance and cost-effectiveness of distributed systems on public cloud providers like Amazon AWS, Microsoft Azure and Google GCP.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). What you’ll bring to Circle:For Senior Data Engineer (III) 4+ years of professional data engineering experience.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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The Cloud Operations Engineer will also need to be an expert in Azure portal administration along with having General Azure Active Directory and Windows Server administration knowledge and a basic understanding of SQL Server administration.
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Certifications related to Microsoft Azure, PowerApps, Cloud, Mobile technologies and/or low code platforms. NET Core, C# (custom code packages), Microsoft Azure DevOps, GIT, and Visual Studio.
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Remarkable experience with Amazon AWS, Google Cloud, or Microsoft Azure cloud platforms. The Data Warehouse Engineer is a key new role to the Reibus team. Data Warehouse Engineer.
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Your responsibilities will require experience in multiple databases (e.g. DB2, IMS, VSAM) and languages (e.g. Java, C#, COBOL, SQL, JCL) plus cloud platforms such as AWS, Azure or GCP. Cloud platforms: You need certification in at least one cloud platform such as Azure, AWS, GCP.
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Various *nix distributions - Cloud environment (AWS, Azure,or similar) Must have 2 years of experience in all of the following: - Developing enterprise applications or scripts (writing code) - Demonstrated ability to learn and adapt to different CI/CD systems and leverage them for automation as needed - Performing manual application penetration testing - Performing manual security code reviews Must have 3 years of experience leading small projects teams on individual engagements.
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Provisioning and managing Databricks cluster and Knowledge of HDInsight, Azure Functions and Azure DevOps is a big plus. � In-depth knowledge Data processing techniques and handling large data sets � Hands on experience using Azure Blob storage and Azure Data Lake Services for storing data � Hands on experience using Databricks in at least 2 projects, creating notebooks using Scala/Python.
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Experience in setting up virtual private clouds in public cloud infrastructure such as Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. Experience with designing and engineering connectivity to public cloud providers utilizing technologies such as AWS Direct Connect, Azure ExpressRoute, Google Dedicated Interconnect, or Oracle FastConnect.
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The ideal candidate will have strong Microsoft Azure Cloud skills - Azure Data Factory, Azure Databricks, Power BI, SQL, Ability to guide and mentor junior engineers, Data and Analytics Thought leadership, and a passion towards Data and Analytics.
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Must have strong knowledge of automation, source control, configuration management, deployment automation, and CI/CD pipeline stacks (Azure DevOps preferred). Azure DevOps Create build/deployment pipelines for software, services Using Yaml/classic pipelines.
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Design, develop, and implement AI-based applications using Azure technologies, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.
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azure job Title: machine learning engineer Company: Advantis Global in Atlanta, GA
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