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Hands-on experience implementing Palo Alto, including Prisma Access, Prisma Cloud and optionally Prisma Cortex. Experience with Spine Leaf Architecture, EVPN, VXLAN, VTEPS, VNI, BGP. Experience with Overlay and underlay technologies.
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Proofpoint, Barracuda, SpamTitan, Mimecast, or Barracuda), public cloud (eg. We are looking for a Sr. Network Security Engineer who has experience in security related technologies such as Next Generation Firewalls, intrusion detection, Email Security, IPSEC VPN, and Zero Trust Network Architecture technologies to join our team.
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Must have working knowledge of tools & technical processes including: identity & access management, database management; software development and quality assurance methodologies, change management, vulnerability management, penetration testing, data loss prevention, batch processing, business continuity/disaster recovery planning; enterprise architecture, telecommunications, data center operations, etc.
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Experience in cloud data warehousing (e.g. Redshift, Snowflake) and enterprise data lake (Databricks) technology. Data systems architecture experience, designing larger scale data engineering solutions, break down to smaller goals, prioritization.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform) Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes.
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Experience presenting and leading with substantial exposure and involvement with data science, cloud infrastructure, solution architecture, application development, and data engineering.
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Experience providing expert architecture guidance on Data Warehouse, Data Lake and Modern BI architecture concepts and technologies using Azure Synapse Analytics and SNOWFLAKE. Experience with migrating data to the cloud (Azure Data Lake) and/or Cloud based computing (MS Azure), SNOWFLAKE.
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Become a part of our caring community and help us put health first. 5 or more years of technical experience in design, develop, support and implement end-to-end data integration solution using Azure Data Factory (ADF) and SNOWPipe, Azure Synapse Analytics or SNOWFLAKE (required.
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Experience with Data Warehousing (Azure/SQL/Synapse), ETL (Azure Data Factory/SSIS), Microsoft Power Apps. Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company.
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Cloud-native architecture, Kubernetes. Intel Research Scientist Intern Charleston , West Virginia Apply Now The WSR (Wireless System Research) lab in Intel Labs is seeking an undergraduate intern in the area of Wide Area Cloud (WAC) research.
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This team is focused on gathering and documenting data requirements for Data Science, Data Consulting, Data Visualization, and Reporting. EOE Business Intelligence is an Enterprise Operations Enablement team focused on data, reporting and data science supporting Humana's Service Operations.
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Snowflake - (Cloud environment Snowflake - Modern Cloud architecture) WHERE this very “Techie” Salesforce architect will build out from the ground floor and work within Financial Services with the Customer, enhance the Saleforce FSC platform and work with a modern Cloud tool skill set such as: Snowflake, Mulesoft & Kafka.
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We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently.
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The WSR (Wireless System Research) lab in Intel Labs is seeking an undergraduate intern in the area of Wide Area Cloud (WAC) research. Digital Signal Processing; Data Structures. Research Scientist Intern.
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Collaborating amongst team members across several geographies, as an Analytics Data Engineer you will design and implement data ingestion, integration & curation pipelines and ecosystems for the enablement and modernization of data warehouses, lakes and meshes leveraging packaged or custom technologies.
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