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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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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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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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Must have CA CEG registration or be able to sit and get licensed for within 6 months REQUIRED.Minimum 4-8 years of relevant site investigation, geotechnical analysis, and geotechnical engineering geology construction support experience, including professional services consulting experience in the Bay Area. Minimum 1 – 2 years of cradle to grave Project Management.
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Experience working with and building strong relationships with cross-functional departments in business, marketing, hardware and software engineering, product and project management, process and analytical development, regulatory and quality.
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5+ years of data engineering experience in product/support analytics and business operations. Ensure Operational Excellence: Define and implement operational excellence processes for Business Intelligence Engineering, including project management and system reliability.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Experience in the streaming media industry and/or supporting a direct-to-consumer subscription-based product.
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Lead technology transfer efforts to implement new processes and technologies in collaboration with Analytical Development, MSAT, Quality, Manufacturing, Alliance Management and Engineering.
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Perform data compilation, quality screening, digitization, and data management in the development of groundwater flow and transport models. Our main service areas cover Water Resource Management, Water & Wastewater Treatment, and Water Infrastructure and Climate Adaptation.
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Prior experience using ESG reporting and data management systems (e.g., Workiva, Watershed). - Develop data management systems for ESG in coordination with financial reporting systems.
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Build relationships with teams within Sales & Account Management and our closest stakeholders within Customer Success, Automation, Marketing, and Product. The Strategy & Analytics team within Sales & Account Management (SAM) is building the data-driven programs and technology to increase team efficiency and effectiveness and improve the experience of businesses that use Square’s ecosystem of products.
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8+ years of experience in a program management, product management and/or strategy & operations role at a technology company. Experience with Salesforce, Looker (Data-visualization equivalent) and Snowflake (SQL equivalent.
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Bachelor’s/Master’s Degree in Aviation Management, Urban Planning, Civil Engineering, Architecture, or related field and 10 years of experience. Master's Degree in Landscape Architecture, Planning, Environmental Planning, Urban Design, Architecture, Engineering, Urban Planning, Geography, or related field and 9 yrs of relevant experience.
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Serve as a technical subject matter expert in any combination of the following: traffic engineering or planning, transportation engineering or planning, signal operations, signal timing/coordination, ITS planning, ITS design, systems engineering, communications networks, and system integration.
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data engineering product management jobs Title: data privacy in San Francisco, CA
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