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Working knowledge of Native AWS Security tools (Macie, Guard Duty, Inspector, Control Tower) along with Google Cloud and Azure. Perform security assessments on cloud deployments in AWS, Azure, and Google.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 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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Highly skilled in: Adobe Creative Suite, including After Effects, Illustrator, and Premiere Pro; script and video plan development; videography; Microsoft Office; and Google Workspace. IntelliBridge delivers IT strategy, cloud, cybersecurity, application, data and analytics, enterprise IT, intelligence analysis, and mission operation support services to accelerate technical performance and efficiency for Defense, Civilian, and National Security & Federal Law Enforcement clients.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) AWS Certified Cloud Practitioner Certification or AWS Certified Solution Architect-Associate Certification.
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Over half of the top banks now use Immuta- Partners include Databricks, Snowflake, AWS, Azure, Google Cloud, and Starburst - $169 million in total venture capital funding. Only Immuta can seamlessly integrate with the leading cloud data platforms to manage and enforce data policies at scale so that users get access to the right data at the right time.
$25 - $30 an hourInternExpandApply 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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Working with multiple domains, network and cloud security zones, subnetting, virtual routing and forwarding (VRF), and virtual local area network (VLAN) environments. Experience analyzing high volumes of logs, network data (e.g., Netflow, Full Packet Capture), and other attack artifacts in support of incident investigations and in-depth knowledge of architecture, engineering, and operations of at least one enterprise SIEM platform (e.g., Google Chronicle, ArcSight, Splunk,Nitro/McAfee Enterprise Security Manager, QRadar, LogLogic.
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Cloud-based geospatial analysis platforms (specifically Google Earth Engine). Doctor of Philosophy (Ph. D.) degree in atmospheric science, geophysics, hydrology, or related discipline.
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Experience working with cloud-based network infrastructures such as AWS or Azure or Google Cloud. , Python) for cloud-based resources (. Hands on experience with Insider Threat Management, Privileged User Management and metrics generation.
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Training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure. Deployment of machine learning models to cloud platforms to serve internal customers at scale.
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Experience working in Salesforce Marketing Cloud, Brightspot CMS, and Google Analytics. On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes.
$192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/DynamoExperience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes.
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Conversant in: SAFe / Agile, AWS Cloud Services (certification preferred), NASA and NESDIS traditional SE methodologies, Microsoft Office and Google Suite. NESDIS has developed its Common Cloud Framework (NCCF) as it builds enterprise satellite ground services in the Cloud.
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