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2+ years of experience working with cloud based or on-prem SIEM products (Splunk, Elastic, ArcSight, QRadar, Sentinel, Securonix, LogRhythm) 2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Familiarity with social media, Google Cloud Platform cloud offerings, test-driven development, DevOps, and CI/CD. Deep knowledge of ASP.NET Core, MVC, Web API, JavaScript, JQuery, Python, Google Analytics, Azure artificial intelligence platforms, and mobile application development (Xamarin, React Native, and iOS Native.
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Hands-on experience in Azure services i.e. Azure, Lambda, API Gateway, SQS, SNS, RDS, Aurora, Cloud Watch. Hands-on experience in Terraform, Cloud Formation Templates. Focus on: Experience in app modernization using Java. Spring boot, Angular/react.
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Experience with scripting languages (Python, JavaScript, Perl); experience with Google Cloud is a plus. Experience with security tools (e.g., Splunk, CrowdStrike, Qualys, ServiceNow, Google GCP.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Expert in applying SCD types on S3 data lake using Databricks/Delta Lake.
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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
$80 - $90 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
$75,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our technology Stack includes hybrid cloud / on-premises environments and diverse technology and security technology baselines. Knowledge of cybersecurity technology domains including IAM/IGA, SIEM, Network Security, Cloud Security, Endpoint Security, Application Security, and Security Operations.
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Experienced in Cloud Testing using Azure DevOps and AWS. Hands on experience with Selenium, robot framework, Cucumber and other industry famous automation frameworks. Hands-on test automation experience in an Agile Development environment.
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Position Summary As 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.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Please note that despite the seniority, this is still a hands on role running core trade support, corporate actions, product control & treasury operations tasks. The firm operate in a high-volume environment, dedicated to continuous process improvement - team members use & develop advanced technical skills in SQL, Python & VBA on a daily basis, as will the new trade support manager hire.
$300,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud computing platforms and hyperscaler technologies (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Architect Expertise: Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOpsModel Selection: Evaluate and select appropriate AI components and algorithms based on project objectives, data characteristics, and performance requirements.
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Azure Data Engineer: Design, implement, and maintain data solutions using Azure cloud services. Azure Cloud Data Engineer. The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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on google cloud jobs Title: network engineer in New York, Norwood, Massachusetts
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