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At least 2 year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) Experience with Cloud Data Warehouse solutions experience (Snowflake, Azure DW, Redshift or similar technology in other private or public clouds.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Assist with assessing cloud service offerings from AWS, Microsoft Azure, or Google Cloud Platform (GCP) to identify threats, risks, and controls to secure the services. Collaborate with the security architecture team, cloud security engineering and security remediation teams with the review and approvals of architecture blueprints and polices in Prisma Cloud.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) For this team we are looking for several Alliances Engineers to support OEM (hardware manufacturers), GSI (global system integrators), ISV (independent software vendors), Channel partners and Public Cloud alliance partners.
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Familiarity with cloud technologies and platforms such as Azure, AWS, or Google Cloud Platform. 5 years in at least one modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least two of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Software Engineer.
$165,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position SummaryAs a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$118,450 - $267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role involves applying software engineering principles to automate data infrastructure operations, encompassing the deployment of Azure Data Infrastructure and Services (Infrastructure-As-Code – IaC), administration of the enterprise data lake utilizing the Snowflake data platform, and managing security protocols.
$130,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google s Vertex AI, Azure s AI tools, and AWS s Machine Learning services.
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A constant desire to improve, learn more and take things to the next level and a passion for adopting the latest features in Java, Spring Boot, Java, Spring Boot, Azure SQL, Kubernetes, Apache Kafka, and Google Cloud Platform.
$90,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience AND/OR Certification with cloud and container management & security technologies such as: VMWare, AWS, Azure, Google Cloud, Docker, Redhat OpenShift, Amazon Elastic Container Service (ECS), Docker Swarm, Kubernetes, Nomad.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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Proficiency in data management and analytics tools and technologies, such as SQL, NoSQL databases, Hadoop, Spark, Databricks, Kafka, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud.
$139,128 - $208,692 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud providers (AWS, Azure, Google Cloud), SaaS applications, custom applications and data sources (Snowflake, AWS Redshift, AWS S3 buckets, Google BigQuery, etc.
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Uses coding skills to enable multiple sources to move data through Snowflake, MDM, RDS, and other cloud data environments using tools such as Spark, Striim, Kafka, Snowpipe, Azure Data factory, AWS Glue, Matillion, FiveTran and more.
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