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Deep knowledge & understanding of Azure technology stack: Azure Data Factory, Databricks, Synapse SQL Architecture, Azure DevOps. 5+ years of experience in Azure Technology Stack (Experience in cloud architecture and technologies: Azure Data Factory, Databricks.
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In-depth knowledge of Azure DevOps Server architecture, installation, configuration, and administration. This role requires a deep understanding of Azure DevOps Server architecture, strong problem-solving skills, and the ability to work collaboratively with cross-functional teams to ensure smooth operations and high availability of our development tools.
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Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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We currently have a Microsoft Azure cloud solution utilizing Databricks for our lakehouse architecture. Use Azure Data Factory, PySpark notebooks, logic apps and SQL for data movement across our medallion Databricks architecture structure.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Uses Azure services such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Cosmos, Databricks, Delta-Lake to improve and speed up delivery of our data products and services. 3+ years' experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies.
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. Candidate needs to have experience doing solution architecture on Azure.
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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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Candidate will guide users on the optimal selection and configuration of Azure resources to meet their specific needs will be responsible for successful delivery of activities across the enterprise, including:Cloud Architecture Design: Help users conceptualize and design comprehensive Azure solutions, providing guidance on resource allocation, scalability, high availability, disaster recovery, and performance optimization.
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Architecture and Design: Architect robust and scalable data pipelines and analytics solutions on Azure Databricks, leveraging services such as Apache Spark, Delta Lake, and MLflow. As the Azure Databricks Tech Lead, you will play a pivotal role in architecting, implementing, and optimizing Azure Databricks solutions to support our data engineering and analytics initiatives.
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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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Work on designing and developing applications using: Python/Bash/SQL; Pandas/Spark/Databricks; SQL Server/PostgreSQL/MySQL; Jenkins/GitHub Actions/Azure Pipelines; Airflow/StreamSets/Informatica/Azure Data Factory; GitHub/Bitbucket/Azure DevOps; AWS S3/Azure Data Lake/Google Cloud Storage; AWS Redshift/Snowflake/GoogleBigQuery; AWS IAM/Azure Active Directory/Google IAM; AWS SNS/Azure EventHubs/Google PubSub/Kafka; AWS ECS/Azure AKS/Google GKE; and AWS Lambda/Azure Functions/Google Function.
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Manage and lead architecture and engineering team to deliver an optimized productivity platform and exceptional digital experience (Desktop/laptop hardware configuration, OS platform upgrades, productivity software solutions, end-user management, client software deployment, antivirus systems, and imaging design and engineering.
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Senior Manager Desktop Architecture/Engineering (Policy, Controls, In Tune & Custom Platforms) This senior manager will lead and participate in the architecture and engineering efforts for end-user platform solutions for the Deloitte US firms.
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azure architecture jobs Title: net developer Company: Dice
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