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Google Cloud Platform, AWS, Azure); Exhibiting proven knowledge of IT Service Management and how it is implemented across different operating models. Industry/SectorNot ApplicableSpecialismPlatform Engineering & ArchitectureManagement LevelSenior ManagerJob Description & SummaryA career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Experience in cloud native technologies and patterns (AWS, Google Cloud) Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala.
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Integration experience with SailPoint, databases, SCIM, AWS, Google Cloud Platform (GCP), Microsoft Azure, or Palo Alto Networks. As the Senior CyberArk Engineer/SME/Scripter, you will oversee the implementation, coordination, migration, and onboarding of all aspects and phases of CyberArk's Privileged Access Management (PAM) solution rollout, both on-premises and in the privilege cloud, along with CyberArk operational tasks.
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Minimum of 5-6 years experience of solid scripting skills in PowerShell, cloud formation, shell scripts, Perl, Python, JavaScript. Minimum of 5-6 years' experience of solid scripting skills in Python, PowerShell, Terraform, Ansible, Cloudformation, Shell/Bash scripts, JavaScript.
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Strong experience with cloud environments such as Azure, Oracle Cloud, and Google Cloud. Google Certified Professional Cloud Developer. Demonstrated implementation of microservices, container and cloud-native application development, API development and automation.
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Integrating test automation frameworks with DevOps pipelines in private cloud and public cloud platforms like Microsoft Azure, Google or Amazon AWS cloud services. Scripting languages like Shell Scripting, Groovy, Python, Java, JavaScript.
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Establish CI/CD pipelines using Azure DevOps and Adobe's Cloud Manager. Skilled in Ansible, Terraform, and Python. Establish CI/CD pipelines using Azure DevOps and Adobe's Cloud Manager.
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Extensive experience on-prem OpenShift infrastructure and major public cloud offerings and how to solution designs that are built around these technologies (AWS, Azure, Google Cloud Platform, and similar.
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Performing data integration using, cloud data integration platforms, tools and languages such as AWS, Redshift, EMR, Python and Object Oriented Programming constructs. Experience: 5 years of technical experience performing ETL development; developing and scheduling batch jobs; developing UNIX Shell Scripts for data validation and reconciliation; designing relational and dimensional databases; performing data integration in AWS using Python and HIVE; developing Python data integration and validation scripts; and performing real-time data integration using messaging queue(MQ.
$146,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Experience in SAP Subscription Order Management with SAP Sales and CPQ Cloud. 5+ years of experience in SAP Sales Cloud & Service Cloud functional and technical configuration & setup including CTI integration.
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Responsible for the quality of the code written using Java, Python, SQL language for Hadoop, Cloudera, Spring, Machine Learning, frameworks with Impala, Hive, Hibernate, Oracle and DB2, MySQL data interfaces and ensure proper design review, code review, unit testing and integration testing.
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Cloud platforms: AWS, Google Cloud Platform (GCP), Microsoft Azure. Design, develop, and implement Generative AI models and algorithms LLM models (Falcon, Llama2), Google (PaLM, Gemini), Open AI.
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Be competent in utilizing Intelligence Data Visualization Tools (i.e., Google Earth and, Analyst Notebook, Target Cop); Additional certification, such as CAMS (Certified Anti-Money Laundering Specialist) or C.F.E. (Certified Fraud Examiner), is preferred.
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Experience in selling cloud technologies and services (AWS, Google Cloud Platform, Microsoft Azure) as well as a deep understanding of the growing purpose and role of various public cloud platforms.
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