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Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Glue, S3, Lambdas, ALBs, Snowflake and Databricks. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Extensive technical skills covering: Microsoft technologies; JAVA and J2EE; Service-Oriented Architecture (SOA) and Web Services (SOAP/REST/Microservices); Hadoop ecosystem; Linux environment; Relational (RDBMS) and Non-relational (NoSQL) databases; E-commerce and Mobile platforms; AWS cloud services; Containerization with Docker (Swarm, Kubernetes); Elasticsearch, MongoDB, Redis (master/slave/sentinel); CI/CD pipelines using Jenkins, Ansible, Rundeck, and JFrog Artifactory.
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Experience with AWS and/or Bigquery and/or Google Cloud Platform (GCP) Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
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Skilled in translating clients’ business requirements into detailed functional, non-functional, and technical requirements, and actionable insights within the Salesforce Marketing Cloud ecosystem.
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Familiarity with AWS and cloud native data processing tools like Redshift, Presto, EMR, Glue, Athena, SageMaker. 5+ years of hands-on experience in architecting Big Data applications using the Hadoop ecosystem, such as Hadoop (HDFS, YARN, MapReduce), Spark (Spark SQL, Spark Streaming, MLLib), Pig, Hive, HBase, Sqoop, Oozie.
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Proficiency in cloud computing and cloud architecture, preferably with experience in Azure, AWS, or Google Cloud Platform. Domain expert with deep understanding of how CDO/CLO ecosystem works.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, in the Architecture & Engineering Expertise Center, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.
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Experience in one or more of the following is a plus: cloud infrastructure, SaaS, biotech, or artificial intelligence/machine learning. Passionate about precision medicine and advancing the healthcare industry.
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Familiarity with Cloud Computing Platforms: Including IBM Cloud, AWS, Microsoft Azure, and GCP. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
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Our Cloud First group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud.
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Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things.
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Architect applications across the full stack, experience in Pivotal Cloud Foundry, Cloud Native Application Architecture, Microservices ecosystem, J2EE, Spring Java, and RESTful APIs.
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Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem.
$450,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years leading Admin and Development projects within the Salesforce ecosystem, specifically using Sales Cloud and Marketing Cloud. Plus: Salesforce certifications like Platform Development, Sales Cloud and/or Service Cloud, Salesforce Marketing Cloud etc.
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Strong work experience as a Data Modeler working in Azure Ecosystem. Designing enterprise data models on cloud (Azure) including services like ETL pipelines, ADF, Synapse etc. 10+ years of experience delivering data and data analytics solutions in Azure Ecosystem.
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