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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica. The Lead Business Data Architect will have expertise in cloud/prem platforms and data framework to support the enablement of data engineering and analytics capabilities; ultimately driving a harmonized and integrated data ecosystem to support Marketing Campaign Operations & Analytics.
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Participate in client meetings to advise clients on multiple data protection products and solutions including enterprise data loss prevention, data classification, digital rights management, cloud data loss prevention / cloud access security brokers, tokenization, file and database encryption.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc. Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
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Our client is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Fluent in data exploration and visualization tools such as Looker and Tableau. The right person for this role has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about sports.
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To provide cost control and estimating services on a leading technology client’s large-scale data center construction program. College and/or post-graduate degree in construction management, cost management, quantity surveying, engineering or field related to construction.
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The Medical Center, also a teaching hospital, provides hands-on and state-of-the-art technology, education, and research to residents in collaboration with Emory University School of Medicine and Morehouse School of Medicine.
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Experience in partnering with technical and cross-functional teams to deploy machine learning models in production using Azure ML and Databricks. At least 5-7 years of working experience working in a data engineering department, as a Data Engineer or Sr/lead Data Engineer in a fast-paced environment and complex business setting.
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Brasfield & Gorrie, a recognized leader in the construction industry, has an exciting opportunity available for a Learning & Development Partner. Collaborate with other members of the Learning & Development team on content, scheduling, and best practices.
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Regular QC check cadence to ensure that all signal components, video, audio channels, closed captioning, cue tones, and ancillary data are in place and meet specifications. 4-year degree in engineering discipline or military communications background and/or 4 year experience in broadcast television environment.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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