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Providing thought-leadership for innovating toward the next evolution of technology products, including agile approaches, leveraging 'big data', cloud platforms and services, advanced analytics, data science and machine learning/artificial intelligence.
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Collaborate with data engineering and data science teams to integrate Java applications with Big Data technologies such as Hadoop, Spark, or similar platforms. Experience with Big Data technologies such as Hadoop, Spark, or related platforms for data processing and analytics.
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You will design solution architectures and develop components of Envestnet’s next generation platform, focusing on modern user interfaces, cloud native back-end services and big data processing.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data" techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
$140,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Strong knowledge in Machine learning and AI.Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.
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Manager, Solution Architect - DAS Enterprise Risk ManagementPrimary Location: Hermitage/Nashville, TNOther Various locationsIf you are passionate about how digital technology is transforming business, plan your next career move with Deloitte’s ITS Application Studios.
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning.
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Capture and share best-practice knowledge amongst the worldwide AWS solution architect community. Amazon Web Services is leading the next paradigm shift in computing and is looking for a world class candidate for the role of Partner Solution Architect, Digital Innovation & Solutions, within our Global Systems Integrators (GSI) Channels & Alliances business function.
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In this technical role focusing on Data Analytics and ML, you will architect enterprise-grade AWS solutions, own the technical relationships and deliverables for a GSI, develop and execute multi-day workshops, lead white boarding sessions, author white papers and blog posts, and respond to complex technical inquiries including RFPs. You will partner with Sales, Business Development and the Data & Analytics Service teams to enable partner’s Data & Analytics services adoption.
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Evangelize break through analytics solutions through adoption of big data, cloud native technologies, Machine learning and Data Science. Strong understanding of data and analytics solution architecture, including experience with Big Data, Relational databases, streaming and batch data processing.
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Stay updated with the latest trends and technologies in the field of cloud computing, big data, and microservices architecture. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands on with wide variety of use cases like ETL, Data Hubs, Data warehousing, Data lakes, Business Intelligence Analytics, Data Science Analytics, Operational Apps and APIs, Semantic and Reporting.
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Experience with data visualizations tools like SSRS, PowerBI & Tableau. QualificationsRequired Skills:A Bachelor s degree in Computer Science, Business Administration, or related discipline.
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Experience architecting and building data marts, warehouses, etc. Experience with data modeling and normalization concepts. Strong experience in Angular/Angular JS, React JS and Node JS. Container experience with Docker and Kubernetes or other container orchestration platforms Experience with architecting large microservices based solutions.
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