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Strong knowledge of cloud platforms such as Azure, AWS, and Google Cloud and their security features. Minimum ten years of recent experience with at least three of the following: Security Architecture, threat modelling experience, identity management and authentication, software development, cryptography, penetration testing, cloud security, mobile security, and network security.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Proficiency in using marketing analytics tools, such as Google Analytics, Adobe Analytics, and Salesforce Marketing Cloud. Evaluate and manage the marketing technology necessary (e.g., Marketing Cloud, Pitcher, webinar platform, Veeva Vault PromoMats and more.
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Knowledge of Google Cloud and Google Cloud Ingestion tools - Cloud Data Fusion, Cloud Composer, Cloud Functions, BigQuery, GCS, etc. Ingest, develop ETL data pipelines using Google Cloud Platform ingestion tools.
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Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). + You have experience migrating or transforming legacy (SAP ECC) customer solutions to the cloud.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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1-2 years of experience in Google Cloud Platform (especially Big Query). Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience working with Google Cloud Platform (Big Query, GCS, Cloud Function, Composer etc.) Should have understanding about Identity and Access Management (IAM) from cloud standpoint.
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Cloud platforms (AWS, Azure, Google Cloud Platform) and their key technologies, including: Observability, AIOps, APM; A career in our Service Management practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms to bring new and innovative services to some of the largest companies.
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3+ years of experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, including experience with serverless architectures, containers, and orchestration.
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With Cognizant SAP, there are diverse career opportunities available to candidates due to our strong ecosystem of Hyperscale-rs (Microsoft, Google, AWS etc), Partnership with next gen technology providers like BluePrism, Automation anywhere; as well as companies like Syniti, Signavio and Qualtrics and of course, across SAP technologies and products like S/4HANA, Cloud & Technology ECC, SuccessFactors, BTP, Signavio, CX and Digital Commerce and Analytics.
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Proven experience in design and engineering of cloud platforms like Azure, AWS and Google Cloud Platform. To continue this transformation, were seeking an experienced Azure cloud solutions architect with expertise in the strategy, design, development, and implementation of large-scale projects in the cloud.
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1+ year(s) of experience in Cloud data engineering, preferably Google Cloud with Big Query. Assist in Managing all marketing related projects on Big Data/Cloud platform including design of new applications and training other developers.
Part-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Knowledge on Python and SQL, preferably Google Cloud Platform Data engineer & Cloud architect certified. Title: Google Cloud Platform Data Engineer (Data Stage) Work with a very hardworking team, building the foundation of support for Google Cloud Platform.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular. Database Query Engine (QA), Automation Infrastructure and Quality Engineering (AIQ), Cloud Platform & Deployment Engineering, Developer Productivity Engineering (DPE.
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Proficiency with using and learning cloud-based productivity applications and tools (such as Google Suite, Remind, Signup Genius, Doodle, Canva, Constant Contact, MailChimp, Evite, Asana and ShulCloud or ShalomCloud.
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google cloud jobs in Florham Park, NJ
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