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Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Providing administration support for Informatica EDC/Axon, CGDC, Metadata Command Center, Data Quality and Cloud Data Quality which includes installation, configuration, upgrades, and business continuity support.
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Sr. Application & Cloud Container Security Engineer. My expertise spans application security testing, cloud security, and DevSecOps, allowing me to drive security improvements and ensure the robustness of applications.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Experience with data exchange/serialization languages, formats, or technologies (JSON, YAML, XML, etc. Familiarity with cloud computing services, processes, and standards (preferably for AWS.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 2 years of experience in big data technologies.
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Drive cloud governance strategies, ensuring adherence to security policies, compliance standards, tagging standards, and risk management practices. Oversee multi-cloud platform automation efforts across AWS, Azure, and GCP, leveraging orchestration tools (Terraform/Open Tofu, Circle CI, Docker, Ansible, Chef/Puppet, Azure DevOps, etc.
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Provide executive leadership for the organization responsible for the cloud, infrastructure, platforms, and security architecture, providing thought leadership and architecture services for all aspects of this domain.
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Salesforce product certifications are a plus (AI Associate, Administrator, Advanced Administrator, Platform App Builder, Sales Cloud Consultant, Service Cloud Consultant, B2C Commerce Developer, Marketing Cloud: Administrator, Consultant, Email Specialist, Engagement Consultant.
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Proven use with zero trust network access, encryption, web application firewalls, data protection, vulnerability management, API security, IaC. Use cloud security tools for asset discovery, cloud workload protection platform (CWPP), control plane configuration and cloud security posture management (CSPM.
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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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Hands-on design, development, review, governance and enforcing security of cloud provisioning processes using an IaC stack like Terraform, Helm, AWS CFT, Azure blueprint. Saviynt's Enterprise Identity Cloud SaaS platform empowers modern businesses to efficiently scale cloud initiatives by integrating identity governance, application access, cloud security, and privileged access for a seamless user experience.
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Design, develop, plan, implement, and maintain Cloud DevSecOps processes across multiple technical organizations, instantiating security testing for internally developed systems, applications, and infrastructure against business requirements.
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Advanced knowledge in SQL and experience working with cloud based data warehouses (Google BigQuery, Redshift, or Snowflake) Deep understanding of customer support, sales enablement (Salesforce reporting, lead enrichment, propensity modeling, quota setting, etc) and user behavior data analysis is a plus (Salesforce, Google Analytics, Adobe Analytics, etc.
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big data security cloud jobs Title: cloud engineer in Atlanta, MO, Canada
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