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Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services. We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Management and migration to Microsoft Azure Active Directory Modern Management from legacy AD domain joined environments, including GPO translation and conversion.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products.
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Design and develop a data lake architecture on Microsoft Azure for ingesting and storing data from Dynamics 365 applications. This role requires expertise in Microsoft Dynamics 365, Azure data storage, and Power BI for data visualization.
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ServiceNow IT Operations Management,
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Minimum of 10 years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, evaluation, documentation, data modeling, design, development, model validation, and data integration.
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Sound understanding and security architecture/engineering experience with one or more IT systems such asCloud (e.g. AWS/GCP/Azure/Oracle)Containerization and Virtualization technologies such as Kubernetes ( OpenShift, AWS EKS, Google GKS), Service Mesh ( Istio ), Kubevirt and VMWareFirewall, Network Security, Software Defined Networks, CASB, SASE and Micro segmentation.
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Implement robust security and compliance measures in Azure, Snowflake, and Databricks to protect sensitive data and meet regulatory requirements. Collaborate with business stakeholders and technical teams to understand requirements and design end-to-end solutions that leverage Azure, Snowflake, and Databricks technologies.
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Define / Implement Cloud Security Architecture - Ensuring Data Security At Rest / In Transit / Application Security / Key Management / Identity Management (IAM) / Authentication / Authorization with ODIC / OAuth2 Infrastructure Security Utilizing Azure VNets / NSGs / UDR, etc.
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Experience with tools/products such as: Ansible, Terraform, Cloud Foundry, OpenShift, Kubernetes, GKE/GCP, AWS (Preferred), Azure, Elastic Stack, Jenkins, Concourse, BOSH, or similar DevOps Computing tools or products.
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Should have in depth knowledge on different ETL & BI tools like Snowflake, Databricks, PySpark, Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events. Should have executed atleast 2 Cloud based programs including Cloud Data Warehouses like Snowflake and Databricks on Azure.
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Hands-on development skills key technologies – Java/Groovy, Ansible, Infrastructure-as-Code (IaC), Docker, Cloud Kubernetes, AWS Lambda/Azure Functions, NoSQL such as MongoDB or DynamoDB. 4+ years in Cloud software development (AWS and *nix is the preferred environment), with a focus on Infrastructure-as-code tools like AWS CloudFormation, Azure Resource Manager or preferably Terraform.
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Set and drive clear team objectives focused on impactful project outcomes, optimizing AI system architecture and infrastructure, and boosting developer productivity. Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Must have hands-on technical acumen with Google Cloud infrastructure and technologies including Google cloud architecture, Google data engineering, GCP solutions architecture, Azure solutions architecture, GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, etc.
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Sound understanding and security architecture/engineering experience with one or more IT systems such asCloud ( AWS/GCP/Azure/Oracle)Containerization and Virtualization technologies such as Kubernetes ( OpenShift, AWS EKS, Google GKS), Service Mesh ( Istio ), Kubevirt and VMWareFirewall, Network Security, Software Defined Networks, CASB, SASE and Micro segmentation.
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azure architecture jobs Title: net developer Company: Dice in Irving, TX
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