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Develop and implement machine learning models using Google Cloud Platform services such as AI Platform, BigQuery ML, and TensorFlow. Experienced in containerization solutions (Kubernetes and Docker) and Microservices on Google Cloud Platform.
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Extensive hands-on knowledge and experience of identity and access management best practices, procedures, and software solutions such as CyberArk, ForgeRock, Okta, Ping Identity, etc. Experience implementing intercept based SSO technologies (e.g. Okta, Ping, RSA Access Manager, etc.
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Experience in security domains such as: Incident Response, Application Security, Email Security, Infrastructure Security, Endpoint Security and Response, Detection Engineering, Network Security, Cloud Security, Compliance, Governance, IAM, Risk Management.
$106,000 - $159,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Design and integrate consistent security solutions across CLS on-premise and cloud environments for domains like Vulnerability Management, Endpoint Security, Data Security, Network Security, Identity and Access management, etc.
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You are well versed across multiple technology disciplines to include but not limited to Enterprise Solutions, MPLS, Cyber Security, Managed Services, Cisco DMPVN, Wireless (4G and 5G), application performance, network timing, SOA, DNS, IP management, IT, Cloud, Enterprise Solutions, and more.
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Open Position Experience Level Vendor Rate Location OIC (Oracle Integration Cloud) Architect 4 - 6 years relevant USA (Warren, New Jersy) preferrable. JD : Oracle Integration Cloud (OIC) Architect.
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Must have strong experience in AWS cloud services, particularly data related services such as Glue (Spark, Data Catalog, Data Quality), EMR, Athena, Kinesis, S3, Aurora, RDS, Redshift, DynamoDB.
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Experience with Windows Server, Linux servers, Windows 10, Office 365, Azure, VMware ESXI, Cloud Flare, and TrendMicro security solutions. Knowledge of Palo Alto Firewall, Prisma Access, Cisco routers, switches, VPN, and Umbrella.
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Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) On-Premise, Cloud, Saas & 3rd Party Data Sources. Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems.
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Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. 3+ years’ Workday Analyst with Workday HCM configuration experience.
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Expert in IAM products such as PingIdentity suite (must have), any one of Siteminder, Okta, ForgeRock etc. Knowledgeable in Cloud technologies like Microsoft Azure, AWS, GCP. Work with deployment, configuring and tuning the Access Engineering stack both on-premise and in the cloud.
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5+ years experience with Big Data Technologies such as Apache Spark, Kafka, Teradata, Oracle, informatica, Snowflake or Cloud Native Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). + Proven experience in developing and implementing predictive models (MLOps) in cloud environments such as AWS and Azure is highly preferred.
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