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Techno-Functional Expertise: Over eight years of hands-on techno-functional experience in the implementation and support of at least two full-cycle Oracle Cloud HCM projects, including Core HR, Payroll, and Oracle Graphical Language (OGL.
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In this role, the successful candidate will drive our efforts to support cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS) with a focus on architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS.
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Responsible for the documentation, implementation, startup, and technical support of Programmable Logic Controller(PLC) and Human Machine Interface (HMI) programming with an emphasis on SCAD (Supervisory Control and Data Acquisition.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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Demonstrated understanding of current and emerging strategies and technologies, including traffic management, integrated corridor management, multi-modal management, demand management, transportation operations, decision support, modeling/simulation, prediction, and big data.
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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Design and conduct experiments utilizing a variety of spectroscopy techniques (for example, x-ray photoelectron spectroscopy (XPS), energy dispersive spectroscopy, near-IR, FTIR (with ATR, total reflectance, IR and Raman microscopy, ); determine appropriate acceptance criteria, conduct technical data reviews, analyze and interpret data collected, form conclusions, and write/review technical correspondence and technical reports.
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Technical leadership and hands-on contributions on all aspects of the design of high-performance custom RF, analog, and mixed signal IPs. 7+ years of hands-on experience in high-performance RF, Analog, and Mixed Signal IC design in advanced CMOS processes.
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As a Principal Engineer - Design (ASIC) in the Microchip Data Center Solutions group, you will get hands-on experience developing our next generation of SSD Flash controller SOC products.
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Provide hands-on support for automation systems, diagnosing and resolving issues promptly. Hands on experience programming PLCs, HMIs, and SCADA Systems. As a subject matter expert, the Automation Controls Engineer combines technical expertise with industry standards to optimize system performance and compliance.
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Customers deploy DCS solutions into applications ranging from Big Data capacity storage to artificial intelligence and machine learning that are helping to shape the next digital age. Support emulation, ASIC lab validation including lab debug and providing logic modifications and workarounds.
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The primary role of the Sr Engineer, Data Integrations & Analytics, is to work within our Accounting & Finance team to develop and support technical aspects of Oracle Fusion Cloud (ERP/EPM/EDM) such as OIC Integrations, ESS Jobs, Configurations, Rest & Soap calls, API's, FBDI Loads, BIP reports, and BICC. You’ll be responsible for all aspects of designing technical solutions, debugging and resolving data issues as well as developing solutions based on specifications.
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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka). Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
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Provide technical guidance on Databricks architecture, best practices, and data management strategies. The ideal candidate will have hands-on experience in migrating from Hadoop to Databricks and SQL to Databricks, with deep expertise in Apache Spark.
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