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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 expertise in building and/or securing technology, including operating systems, databases, virtualization, cloud computing environments, and networks. At least 1 year of experience in cloud computing.
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Proficiency in Unix/Linux platforms, such as basic shell scripting in an on-premises or Cloud computing setting (e.g., Google Cloud); Ph. D. in Biological Sciences, Genetics, Statistics, Biostatistics, Computational Biology, Bioinformatics, Computer Science, Epidemiology, or equivalent.
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Implementing access controls on Azure services across cloud platform i.e. IaaS, PaaS and SaaS Nice to have: - Third party cloud security platform like Palo Alto Prisma Cloud Security.
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Experience in designing, implementing, and delivering security for cloud native, distributed computing and architectural solutions with a principle of “Secure by Design”. Other Certifications - Certified Cloud Security Professional (CCSP), Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), Certified Information Security Manager (CISM), Certified Cloud Security Knowledge (CCSK.
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Must include experience managing computing and information infrastructure services in a local area network and cloud platforms such Amazon Web Services (AWS) or Microsoft Azure, strong command of Citrix systems and related technologies and relational databases such as SQL. Experience with endpoint management tools (Intune, BigFix, JAMF, Workspace, Ivanti.
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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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Oversee the design, development, and maintenance of data infrastructure using platforms like Snowflake, Adtran, Databricks, SQL, COSMOS DB, Apache Kafka, Hadoop, Spark, DBT (Data Build Tool) and cloud data services (AWS, GCP, Azure.
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Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Demonstrated experience in building, tuning data pipelines on Spark, Cloud native tools like Azure Data Factory, Databricks and ETL tools. Delta Lake, Python, SQL Server, and experience with Azure Cloud.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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The Systems Architect - Oracle is responsible for supporting the adoption of cloud computing and automation initiatives, with a focus on migrating the Oracle products like OBIEE and Datawarehouse components from an OnPrem environment to Oracle Cloud Infrastructure.
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Design and implement scalable and secure Google Cloud infrastructure using Terraform, Cloud Formation, or Deployment Manager. Hands-on experience with Google Cloud services like GKE, Cloud Run, App Engine, Cloud Storage, Cloud SQL, BigQuery, and Cloud Monitoring & Logging.
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Daily Tasks: Skills in nutshellDrupal, PHP, Angular, Express with Angular Universal, NodeJS Monitoring (PM2), SOLR, Java, AWS Cloud Engineering, AWS Cloud Services, Route 53, Load Balancers, EC2, Acquia CloudAutoscaling groups, Mem Cache, Secrets Manager, CloudFront, Code Deploy, Code Pipeline, VPC, CloudFormation, IAM,Secuirty Groups, S3, CloudWatch, EFS, WebSphere Portal,Ansible, Apache, Ngnix, NodeJS, Varnish, Jenkins, Terraform, LSyncD, Bash Scripting, Splunk.
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cloud computing jobs Company: Pwc in New York, NY
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