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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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We are hiring an Cloud Consultant in our Alliances team to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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Google Professional Data Engineer / Cloud Developer certifications are a plus. We create and manage analytics infrastructure and cloud-based systems, with technologies such as Python, SQL, Docker/Linux, and serverless capabilities and infrastructure (Snowflake, PostgreSQL, RedShift, Lambda, etc.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Various disciplines are involved in Enterprise Data & Analytics, including data source identification and analysis, data engineering, data visualization, and data science/machine learning.
$65,000 - $87,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Our technologists are involved in work that includes cloud native development, digital architecture and integration, automation, cloud data platforms, artificial intelligence, and machine learning as well as maximizing platforms such as Salesforce, AWS and Microsoft.
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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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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Platform Integration: Design and implement solutions that integrate with IQVIA, Veeva, Salesforce Marketing Cloud, Marketo, Adobe Experience Manager, and Crownpeak, ensuring seamless data exchange and enhanced marketing capabilities.
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There are also research and development opportunities with our departmental machine learning/artificial intelligence group, data science and Imaging Informatics. There are also research and development opportunities with our departmental machine learning/artificial intelligence group, data science and Imaging Informatics.
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Design and deploy data solutions using cloud-native services, such as Azure SQL Database, to support advanced analytics, machine learning, and data visualization initiatives.
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Stays on top of Duck Creek Technology platform and other approved underwriting platforms as well as industry trends including Digital Transformation, InsureTech, AI/Machine Learning etc Location:Core teams are primarily located in Whitehouse Station, NJ which is the preferred site of employment, however other office locations and remote employment options are also acceptable.
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We are hiring an Cloud Solutions Architect in our Alliances team to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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