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Experience with Boomi, OIC, Azure, Azure API, Oracle SOA suite, IBM IIB/MQ, Talend/ODI, Application servers, or similar platforms. Experience with EDA (Event Driven Architecture) and platforms such as Kafka, Azure Integration Services, Confluent, Solace etc.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Experience with cloud based data services offered by Azure, AWS and Google. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery.
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Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc. Quickly learning skills to adapt GCP cloud native SQL (Bigquery). Ability to work with business stakeholders and IT team to understand the requirements and quickly translate them into workable solutions using Python and SQL (Bigquery.
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Experience with infrastructure orchestration tools such as Terraform and other cloud-specific infrastructure automation tools (Azure Resource Manager, Google Cloud Deployment Manager) to automate the creation of staging, testing and production environments.
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Review and Improve Security Policies and Configurations: Periodically review and update security policies and configurations for Azure, Azure apps, firewalls, and CrowdStrike Identity. Familiarity with cloud security principles, particularly Azure.
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Develops, configures, operates and evolves the API Management platform Azure APIMApplication and platform support for Oracle Integration cloud, Boomi, Azure APIM.Supports legacy applications of SOA, EDI as needed.
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Experience developing in Microsoft Azure platform; Microservices, Docker Container, Service Fabric, Data Lake, Databricks, Data Factory, Stream Analytics, Machine learning, and HDInsight. We specialize in the implementation of collaborative solutions, IoT and intelligence solutions using Microsoft technology including SharePoint, Office 365, Azure and PowerBI. Our company is passionate about technology and high client standards, and we are committed to becoming the go-to Microsoft consultancy for business and digital transformation.
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Automation using Terraform and Azure DevOps. Design and execute Azure Databricks permissions strategy, workspace architecture, storage, networking. Design and execute the technical onboarding of new lines of business to Azure Databricks.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Desirable: Microsoft Certified: Azure DevOps Engineer Expert. Implement and manage CI/CD pipelines using Azure DevOps tools to automate the build, test, and deployment processes. Collaborate with software architects and engineers to ensure secure coding practices are followed and an understanding of Azure DevOps processes and systems is maintained.
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Expert level in Designing and Architect solutions in Azure Databricks, Fivetran. Role Description: The Azure Databricks Architect must have at least 6-8+ years of. - Design and execute Azure Databricks permissions strategy, workspace.
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Experience with Azure and AWS cloud security principles and technologies. Professional Cyber Security Certification Required (e.g., CISSP, CCSP, SSCP, CEH or equivalent.) Experience with security tools and technologies such as firewalls, SIEM (Splunk), IDS/IPS, DLP, endpoint security, etc.
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Basic understanding of CI/CD best practices along with basic knowledge of related tools (GIT, Azure DevOps, Package Mangers). Solid understanding of systems development life cycle (Experience with Agile methodologies a plus)Experience with mobile frameworks (Ionic, Xamarin, Flutter, React Native, etc.
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Understand the concepts and applications of Microsoft technologies related to Dynamics 365 including the Power Platform and Microsoft Azure. Hands-on experience with multi-phase, multi-country, enterprise-wide D365 implementations, with a focus on pre-sales/business development and engagement delivery.
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Primary Skills : Oracle ERP,SaaS,salesforce,Oracle EBS,Microservices, Java/Spring Boot,kubernetes,Docker Enterprise,DevOps,Azure. Experience of building products & services in “As a Service” models (e.g., SaaS, IaaS, PaaS) and platforms (e.g., AWS, Azure.
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Certification in cloud and edge architecture (AWS certified solution architect and/or Azure solution architect expert) You have Azure or AWS cloud experience. You have experience in PLM, MES/MOM, PLC, SCADA, Internet of Things (IoT) platforms, Manufacturing IT Systems integration.
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