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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.
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Hands on experience with Web development, ETL/ELT design and development, MOLAP, Visual Studio, GitHub and/or Azure DevOps. Knowledge of core banking systems, CRM, Integration Services (SSIS), Azure data warehousing solutions and Power BI reporting solutions.
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A hands-on expert in SAP Treasury core components, spanning Cash management, Transaction manager, In-house cash, Risk analyzers, Liquidity planner, Hedge management and accounting, SWIFT integration, BCM, and integration with financial accounting and other applications.
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To be successful in this role, we’re seeking the following: Experienced hands-on Data Governance, Regulatory Reporting across Risk or Finance domains from concept to implementation with a demonstrable track record of delivery.
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This position is critical to their success, representative of a new chapter for the company executing on a new vision and strategy building on a 20 year iron-clad reputation in high-end network & data security.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) 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.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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Hands-on experience with data architecting, data mining, large-scale data modeling, cloud data storage and analytics platforms. Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
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You will take a hands-on role on teams of software developers, machine learning (ML) researchers, and ML engineers to support engineering and development efforts, with overall responsibility for maintaining machines in our privately managed enclave.
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Practical Experience: Hands-on experience with applying data protection controls and with data security technologies like DLP, AWS Macie, Purview Information Protection, Data Security Posture Management (DSPM), SIEM, antivirus.
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3+ years experience in hands-on penetration testing and in identifying security vulnerabilities. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
$208,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience in AI/ML/NLP Model Engineering. Knowledge of Information Architecture, Data warehouse/databases, big data platforms, Data Visualization. Knowledge of Cloud computing with a focus on tools, technology, and development methods pertaining to Machine Learning.
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Proven hands-on experience in distributed systems, such as Kafka and Spark. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical.
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Provide failure analysis data to Quality Control and Engineering on an as needed basis. Demonstrated capability as a self-starter in a hands-on environment is required. Excellent communications skills and strong computer applications skills are needed to compile data and create professional technical reports.
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Hands on DevOps experience – CI/CD in Jenkins , Bitbucket, Kubernetes ,OpenShift. Hands-on experience working with at least one cloud (AWS) Ability to understand tools used by data scientist and experience with software development and test automation.
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