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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Preferred 2 years - Hold one or more Cloud certifications such as AWS Certified Solutions Architect, or Microsoft Azure Architect Design and/or equivalent work experience. Required 5 years - Broad, domain level architectural understanding of: •Modern Application Architecture •Cloud Computing •DevSecOps •IT Infrastructure •Network •IT Governance •IT Security.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
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We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence.
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We help our clients adopt the cloud to transform Information Technology, scale and streamline operations and create new cloud based businesses through our strong alliances.
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Execute cloud security standard methodologies, ensuring data privacy and compliance with industry standards and regulations. Experience in cloud computing (e.g., applications security, infrastructure security, storage security, platforms security and data security.
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As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists, work hands-on with Big Data technologies and build scalable data pipelines/infrastructure to support development of health care propensity models.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice.
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We are seeking a Senior Cloud engineer - DevSecOps to join our progressive information technology team. Familiarity with NodeJS, ExpressJS and general Mean stack development, WebSphere Application Server, JMS solutions, Cloud Hosted angular application will be helpful.
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The Information Security Risk Management team is responsible for managing and mitigating risks faced by ThousandEyes to protect its systems, services and data. As the world continues its digital transformation and relies more on cloud services and the Internet, the “network,” which is now both public and private, has become a black box our customers cannot see or understand.
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Experience with at least one data integration tool (e.g., Talend, Informatica Cloud, Pentaho, Jitterbit, Boomi, and MuleSoft) Education and Required Experience: Requires Bachelor's degree in Computer Science, Software Engineering, Management Information Systems, and/or a related field plus five years of experience with Salesforce development or equivalent combination of education and experience.
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Familiar with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS). This Cloud Solutions Architect 3 contractor position is part of the WIC Applications team and will be working to understand the architecture and engineer the transfer of a CRM solution using Dynamics 365 and other services in Microsoft 365 Power Platform.
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