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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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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experience with cloud-based data platforms (AWS, Azure, Google Cloud) and analytics platforms (Snowflake, Redshift, BigQuery). Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python.
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Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.
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Minimum 5+ Years of Hands-On experience in the cloud security platforms such as AWS, Azure or Google (preferably engineering) Etc Technology and hands-on exposure to Active Directory, Palo Alto Prisma, Advanced firewalls, virtual directory services, etc.
$321,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Nice to Have Cloud Database knowledge of platforms like Diamanti, Nutanix, Kubernetes, Docker, Openshift and Azure Developer mindset with skill in Ansible, Python, Java or C/C. Strong Hands-on Experience automating Database Image builds and orchestration using Packer, Terraform & Ansible What’s in it for you.
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Experience with Azure resources such as: Resource Groups, VMs, Storage Accounts, Service Buses, Expose API in AAD) Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s): Python and.
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Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their associated services. Manage cloud infrastructure on platforms like AWS, Azure, or Google Cloud, ensuring cost-effective and scalable solutions.
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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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Hands-on knowledge and at least 3 years’ experience of designing, curating, and wrangling data in database/data lake solutions such as RDBMS, Snowflake, Hadoop, Azure Data Lake Storage, etc.
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Expertise (4+ years) in distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling, as well as public cloud platform & systems (AWS, GCP, Azure). 7+ years experience as ML engineer, architect, engineer, lead data scientist in Big Data ecosystem or any similar distributed or public Cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
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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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Strong knowledge of Microsoft Identity Management products (FIM/MIM), Azure AD connect/Microsoft Entra Connect Knowledge of Active Role Server, Microsoft Entra access review Strong knowledge of Exchange and PowerShell, SQL Server, Microsoft SQL Server Integration Services (SSIS) Strong network and host security background in Windows 6+ years’ experience in hands-on Identity Management positions Must have an experience of implementing an enterprise level IAM (ILM) infrastructure.
$223,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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/practical experience with the following technologies: Windows Server, Public Cloud, Active Directory, Citrix, Cisco, VMware, Dell/EMC. (Examples include but not limited to Firewalls, Network Equipment, Cloud Hosted Security Tools, Cloud Hosted Platforms - Azure, O365, AWS, GCP, etc.
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