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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS.
$91,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. We’re doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) 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.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in, or a working knowledge of Python, SQL, R, VBA, Snowflake, or Google Cloud Platform is a plus. The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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Exposure to cloud providers (AWS, Google Cloud Platform, Microsoft Azure), virtualization and security management preferred. Exposure to cloud providers (AWS, Google Cloud Platform, Microsoft Azure), virtualization and security management preferred.
$233,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong foundational knowledge across AWS, Microsoft Azure, and/or Google Cloud technology stack. Minimum of 3 years of professional experience with any combination of at least 2 technical disciplines, including the following: cloud engineering, cloud security, network security, application security, mobile security, secure development methodologies, software development and coding, identity management, authentication and authorization, network architecture, system administration, and systems engineering.
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Driving API management (e.g. Azure API Management, Google Cloud Endpoints); Utilizing MEAN Stack (Mongo, Express, AngularJS, Node, Javascript); web technologies (HTML5, CSS3, JSON, JQuery, AJAX, JavaScript, Bootstrap); and cloud (Designing, building and deploying cloud-centric solutions on Azure and/or GCP.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
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Cloud and Infrastructure: Experience with cloud services (Azure, AWS, Google Cloud) and an understanding of system architecture fundamentals. Automate routine tasks to increase efficiency and accuracy across operations using systems like Workday, Google Docs/Sheets, and Slack.
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Proficiency with SQL via Google BigQuery along with other cloud-based systems and tools. As a Technical Account Manager, you will be responsible for managing and supporting our clients' Data Platform, 1st & 3rd party measurement needs, with a specific focus on leveraging SQL via Google BigQuery for troubleshooting, data analysis and workflow automation.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with cloud-based database solutions (e.g., Amazon RDS, Azure Cosmos DB) is a plus. How to Apply: If you are a seasoned Senior Java Full Stack Developer with a strong background in cloud technologies, and you are looking for a new and exciting challenge, we would love to hear from you.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud transformation projects. You will leverage your expertise in data engineering, artificial intelligence (AI), generative AI, application development, and cloud transformation to deliver high-quality solutions.
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Exposure to directory services and cloud identity providers (Okta, Google, Azure AD/Entra ID). Systems Engineering experience supporting and operating Active Directory, Microsoft Azure, and Google Workspace in an Enterprise Environment.
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Technical Expertise: Strong technical expertise in Kubernetes, knowledge of Cloud (AWS, Azure, or Google Cloud Platform Certified), and/or Observability Platforms is highly valued.
$244,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Monitor data pipelines and GCP resources using Stackdriver (Google Cloud Operations Suite), optimizing for performance and cost. Strong expertise in Google Cloud Platform services.
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Experience with Google Cloud services, including Cloud Build, BigQuery, Functions, and more. Our ad tech platform ensures an uncompromised user experience, combining rapid revenue generation and high-quality service featuring Net 7 Payouts, same-day support, and the industry's quickest ad loading times.
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