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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.) 4+ years of Medicaid, MMIS, Decision Support Systems (DSS), eligibility/enrollment systems, claims process or related experience with a state agency.
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Provide geotechnical engineering and guidance for due diligence, investigation, impact assessment, improvement, and construction of infrastructure projects and systems in the public and private sector.
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Collaborate with customers and colleagues across analytics and engineering to extract meaning and interpretation from data sets within an assigned area of responsibility. Create data science assets and automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau, Microsoft Azure (Fabric, ML Studio, ADF, Synapse, PowerBI, etc.
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This position supports 24/7 365 days a year on air operations at the CNN Center, TBS campus and other off-site locations, critical TGR Rooms, Data Centers and tenants and the South Tower of the Omni Hotel and the Northyards Field Engineering Shop. Performs other duties as required or assigned.
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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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Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Keep Material Safety Data sheets current and easily available (with Housekeeping Manager). Coordinate all inspections of the fire safety systems, including extinguishers, smoke alarms, etc., to maintain proper safety standards.
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Leverage data integrations using systems such as AWS Athena, Redshift, Cognos, SharePoint and Power BI Services among other technologies. 5+ years experience in a data analytics or engineering role with a solid understanding of technical, business, and operational process.
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Drive the construction ideation, scoping, and design phase of new sustainability retrofit programs (end-of-life systems renewal with best-in-class energy efficiency, enhancement of existing systems with energy- and carbon-saving alternatives such as HVAC, lighting, BMS, etc.
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Ingest data from various sources using different technologies such as RDBMS, REST HTTP API, flat files, Streams, and Time series data based on proprietary systems. Proficiency in data mining/programming tools (e.g. SAS, SQL, R, Python) and database technologies (e.g. PostgreSQL, Redshift, Snowflake, Greenplum.
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Field Service/ SCADA Engineer performs electronic and related technical and computer work in the Supervisory Control and Data Acquisition (SCADA) system located at the Water Treatment and Reclamation Facilities, as well as remote stations located throughout the water and wastewater systems.
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Integrates applications solutions with existing enterprise systems, databases/data warehouse, system jobs, and applications. Under broad supervision, the IT Solutions & Integration Architect designs and implements innovative enterprise solutions, including Esri ArcGIS GIS solutions, that integrate data and platform technologies to meet the organization's needs.
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We are a global team of thousands of innovators with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering.
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engineering systems data jobs Company: Microsoft Corporation in Atlanta, TX, Arkansas
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