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Skills: Expertise in Cloud design, architecture and development; Azure solution design, architecture and development, Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Publicis Sapient is looking for a highly skilled and experienced Senior Architect with expertise in Hadoop, Spark, and Big Data technologies to join our team of bright thinkers and doers.
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The AWS Solutions Architect is a technical resource within the organization, and fulfills a coordination and leadership role in the development of big data and web. About Us PREDICTif is an expert in Big Data, Machine Learning/Artificial Intelligence in the Cloud, serving enterprise customers throughout North America.
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NET Core , MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Experience in building API in the Solar/Energy industry is a big plus. Sound understanding of SOA/EAI/ESB concepts, SOA Governance, Event Driven Architecture, message-based architectures, file sharing and exchange platforms, data virtualization and caching strategies, J2EE design patterns, API frameworks.
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E Salesforce), Customer Billing and payment applications, Analytics/Big Data, Cloud, SaaS, PaaS and IaaS solutions. The Solution Architect is responsible for the design of technology solutions in support of core business functions by evaluating end user needs, business goals, budgets and existing applications to define system requirements and technical standards.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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AWS Certified Solutions Architect - Professional, AWS Certified Data Analytics - Specialty, or AWS Certified Big Data - Specialty. Senior Data Architect. Ensure data governance, quality, and security measures are in place, aligning with compliance requirements such as FISMA, FedRAMP, and HIPAA.
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Certified Cloud and/or Enterprise Architect is a big plus. In-depth data architecture knowledge and experience with an understanding of master/core data management, account/customer data hierarchies, data quality and data migration tools and processes.
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Familiarity with technological trends (e.g., Cloud, Big data, IoT, AI, RPA, Connected Intelligence), and experience positioning organizations to take advantage of those trends. We'd love to chat with you to see if we can take you from where you are today and grow you into a Slalom Enterprise Architect.
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Familiarity with SQL and big data tooling (E.g Apache Spark ecosystem) 10+ years experience as an application/data/solution/enterprise architect. Have architectural skills dealing with data modeling and infrastructure solutions, such as classical data warehousing and big data architectures.
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Exposure or experience in any of these technologies is a big plus: Data Analytics, Robotic Process Animation (RPA), Low-Code, Messaging (Chat, SMS, email), Artificial Intelligence, Machine Learning, and AR/VR. - Strong working knowledge of Enterprise Architecture, Enterprise Software Design Patterns & Cloud Software Architecture; AWS experience required; Azure experience a big plus.
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