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The Google Cloud Principal Architect role is a hybrid technical and business advisor role. Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with customers, at conferences, and online.
$139,000 - $213,000 a yearFull-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
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Frameworks(E.g. JavaScript libraries, Agile frameworks), tools(E.g. Ansible, Jenkins, Puppet) and Platforms (E.g. Microsoft Azure, Google Cloud Platform, AWS, OCI etc.) To select appropriate frameworks, platforms (Microsoft Azure, Google Cloud Platform, OCI, AWS. Apple IOS etc.
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Experience with data translation tools (DBT/Google Cloud Dataform) data visualization tools Looker/Looker Studio/Tableau. Experience with Google Cloud Platform tools (BigQuery, Cloud Functions, Logging, Cloud IAM, Pub/Sub, Cloud Scheduler, Cloud Storage.
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Genpact is currently seeking a GCP Data & Analytic Technology Advisor for our growing Google Cloud Advisory practice. Inviting applications for the role of Assistant Vice President – Google Cloud Advisory practice.
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Provides Cloud Security expert level consulting, advice, and mentorship related to all DTCC activities including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) initiatives, projects, plans, and reviews with a specialized focus on the major Cloud Service Providers such as AWS, Google Cloud and Azure.
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GCP Cloud IAM Architect - Terraforms, Business processes (Google Cloud Infra, Google Native Devops & SRE) 2. A Google Cloud IAM (Identity and Access Management) Architect is responsible for designing, implementing, and managing the access control and security policies within Google Cloud Platform (GCP) environments.
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Cloud Certification, including AWS, Certified Solutions Architect Associate Certification, Google Certified Professional – Cloud Architect Certification, or MCSE: Cloud Platform and Infrastructure Certification.
$58,400 - $133,000 a yearFull-timeExpandUpdated 22 days ago - UpvoteDownvoteShare Job
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Utilize Google Cloud Platform (Google Cloud Platform) products like Firebase, Firestore, Big Query, Cloud functions, Cloud scheduler, IAM, Pub/Sub, etc. As an Engineer for a mobile application team, you will be responsible for the mobility and cloud solutions that our customers and retailers use to transact with DISH's brands.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Implement major infrastructure management platforms (e.g., BMC, HP, CA, VMWare), automation, and orchestration (e.g., Ansible, Chef, Puppet) and public cloud vendors (e.g., AWS, Rackspace, Google Cloud Platform, Azure, and Office 365.
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Google Cloud accelerates every organization’s ability to digitally transform its business and industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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Proficient and hands-on coding experience in Java, Microservices, Spring Boot, API , Apache Kafka , Google Cloud Apigee API , GCP Cloud, Development in cloud environments. Proficient in Google Cloud Apigee API Management for enabling API security, traffic management, and analytics for microservices.
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Google Professional Certification - Cloud Architect , Data Engineer, Machine learning. Work involves migrating data from legacy on-prem warehouses to Google cloud data platform and sunset of legacy platforms while driving business adoption of the new platform.
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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent.
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Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage. The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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NoJob Details:Must Have Skills: Python, BIGQUERY, HADOOP AIML ML OPS, NLP GENAI VERTEX AI, GCP, Platform supportNice to have skills Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic and Vector DBof Pyspark experienceDetailed Job Description:In this role, you will: Lead and design the platform and infrastructure architecture for AIML and NLP in modern hybrid cloud computing.
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