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Degree in engineering or construction management as well as 2 years of on-site Data Center construction scheduling experience is required. Develop and maintain project schedules identifying relationships, logic, milestones and constraints for Data Center construction projects through interactive planning with the project team.
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Provide guidance with collecting, compiling, and analyzing data from the physical work site, soil/water/sludge/rock samples, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Knowledge of industry's best practices in 3D seismic data processing, including seismic tape and navigation processing, noise attenuation, demultiple technology, velocity analysis and model building, stacks and migrations.
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Skills in data analysis, advanced Excel, VBA, PowerPoint, and SQL. Experience with Python, R, MATLAB, C/C#/C. Lead and/or sponsor strategic initiatives for assigned assets, prepare and present to senior leadership.
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Performs data entry utilizing Elekta (Mosaiq) software. Maintains the quality and integrity of the data base, and ensures departments compliance of all internal and external policy, regulations and procedures.
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Prior experience with data acquisition systems (especially National Instruments) and LabVIEW code development. Familiarity with data interface protocols and associated hardware such as Ethernet, RS232, RS422, RS485, I2C, SPI, etc.
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The Data Engineer will help streamline current infrastructure and help mature the streaming transport & transformation layer to enable the entire engineering & technology organization to utilize low-latency data.
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Experience with Agile and DevOps-Automation Anywhere certification is a big plusFUTURE RESPONSIBILITIES:-Identify opportunities for improvement in existing process and automate the process using Automation Anywhere RPA software.
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Must be able to operate Microsoft Office applications and other personal computer-based applications for gathering, integrating, analyzing, andreporting pipeline integrity-related data. Analyzes ILI data with communication and coordination of pipeline repair activities in response to ILI anomalies.
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Leadership: Lead the execution of the data analytics strategy tailored to the specific needs and challenges of the oil and gas industry. Technology Evaluation and Implementation: Stay abreast of emerging technologies and trends in data analytics, BI, and data science relevant to the oil and gas sector.
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Have a solid understanding of the D365 F&O technology stack and the peripheral technologies that can be leveraged including, but not limited to, Azure, Azure SQL, Power BI, Common Data Service, Power Apps, Azure Logic Apps, Azure Machine Learning, etc.
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Ability to operate, use, and interpret data from a wide variety of equipment to perform anesthesia care as well as necessary perioperative or operating room care to support the safety and wellbeing of the patient while they are under the direct care of the CRNA.
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Key activities include utilizing ESRI’s GIS products to generate presentation quality maps and perform data queries for the Oil and Gas Investment Banking Team. Query oil and gas data from subscription services (rig activity, operator acreage positions, well locations.
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NET Core ASP.NET, 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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Experience in data analysis, statistical modeling and data visualization tools (e.g. Python, R, MATLAB, Power BI) Incorporate advanced data science, machine learning and AI techniques to optimize performance.
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big data jobs Title: technology lead in Houston, TX
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