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P Position Summary Hands-on Working knowledge of Azure-native technology stack like Azure AD, Defender for cloud (CSPM) & Identity, PIM, Conditional Access, Defender for Identity, AIP, Azure Log Analytics, Azure Monitoring, Azure Key Vault, Hands-on Working knowledge of Microsoft 365 security suite (Defender for Endpoint, Information Protection, Purview, DLP, EOP, Intune (MDM/MAM) and Defender for cloud Apps.
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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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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Minimum 3 years' hands on experience with Azure Services. Responsible for end-to-end data integration in the Azure platform, this includes all phases of integration development life cycle, requirements gathering, design, build, test, deploy and maintenance.
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Demonstrated experience with Azure Functions, Snowflake, Databricks, and Event Hub/Kafka. We create best-in-class data solutions from internal and external sources by leveraging a diverse set of cloud technologies like Snowflake, the Azure tech stack, Databricks and Python.
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Hands on Development on AWS/Azure/GCP, Java, Kafka, REST/JSON, Spring, Data platforms and API platforms. The position requires a big thinker, external facing technologist with solid knowledge, experience and background of Cloud, Containers, ML, GenAI, API paradigm, Security (IAM), deeper understanding of platforms (Databricks/Snowflake/SaaS), Hyperscale's (AWS, Azure, GCP) and industry standards with solid coding and design skills.
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Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Hands-on experience with guiding the virtual data model definition, defining Data Virtualization architecture and deployment with focus on Azure, Databricks, PySpark technologies. Build CICD for Databricks in Azure Devops.
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The ideal candidate will have a strong background in SQL Server development, hands-on experience with Azure Pipeline, and proficiency in working with Databricks for data processing and analytics.
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A software engineering industry certification, including but not limited to: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP.
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Modern Management - Mobility and Security Solutions in any of the following: Microsoft Intune; Autopilot, Desktop Analytics, Conditional Access, identity governance, Azure Active Directory (AAD), Microsoft Cloud App Security (MCAS); Advanced Threat Analytics; Defender for O365, Microsoft Endpoint Configuration Manager.
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Familiarity with enterprise technology tools: Tidal Enterprise Scheduler, Service Now, JIRA, Confluence, Azure DevOps, Azure GIT. Become proficient across multiple data domains, including internal positions, account performance, market data, security, issuer, ESG, alternative, and trading data.
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Experience in cloud native security solutions for cloud environments such as AWS, Azure and Snowflake. Hands-on experience with IBM Infosphere Master Data Management (Standard Edition) or another MDM tool.
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Hands on experience in building solutions using cloud native services (Azure, GCP preferred) Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on with some of the tech stacks from not limited to NiFi, Apache Spark and Airflow, HIVE, HDFS, API Integration, Schema Registry, NiFi Registry, Bitbucket, S3, RDS, RedShift, Python, PySpark, Scala.
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hands azure jobs Title: security engineer test in New York, NY
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