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Understanding of CADworx in the context of preparing 3D facility model, P&IDs, ISOs, Site/plot plan, plan and section drawings, general arrangements, BOMs and provide training to other CAD staff Understanding of how to integrate GIS data in CAD drawings to ensure all drawings are created using the latest approved project data from GIS. Basic ability in using ESRI ArcGIS Pro to review, compile, query, and export data for use in CAD drawings.
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DUTIES AND RESPONSIBILITIES: Assist with all managerial aspects of the program including clerical work such as inputting of data, filing paperwork, set-up and clean up facilities and equipment for practices and home games, video taping of practices and games, input and upkeep of HUDL team software, recording of statistics during practices and distribution of team gear.
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Previous OSP engineering and Field data collection experience, along with working knowledge of client software systems including, ARAMIS, BST-CAD, OSPCM, JMS (OPEDS), AOtX, AOTS, PLANET, CEEOT, MMT, PM Tool, EFACTS, MIC, LFACS, GRANITE and OCALC. The ideal candidate will have expert level experience with Customer Quality Control metrics, work print design, FTIs, and other measures to ensure first time acceptance.
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Agility core practices, Analytical Thinking, Computational Thinking, Continued Learning, Data Analysis, Data cleansing and transformation, Data Management, Data Sourcing, Data visualization and interpretation, Dialogue enablement, Exposure Management, Machine Learning, Macroeconomics, Market analysis methods, Market Risk Management, Statistics, Trade execution and management, Trading Fundamentals, Sentiment and Trends, Trading knowledge.
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Data Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS. Data/Analytics: Splunk, Tableau, Power BI, Click. Security: Okta, Crowdstrike, Palo Alto, Proofpoint, Cyber Ark, Sailpoint, Fastly, Fire-Eye, Fortinet.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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The Enrollment Data Specialist is held responsible for understanding and abiding by State, Federal, and organizational guidelines for various lines of business related to Membership enrollment and reconciliation.
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Works on multiomics projects, integrating data from genomics, and potentially transcriptomics, proteomics, and metabolomics to elucidate the mechanisms of diseases. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH-funded Precision Medicine initiatives.
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Data Entry: Enter relevant data and metadata into Laserfiche, ensuring accurate and complete information for each document. Maintain a high level of data integrity and consistency.
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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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Proficiency in the design and implementation of modern data architectures and concepts such as Azure cloud services, real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Databricks, Snowflake.
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We are looking to hire a permanent placement role for a Mid-Level Machine Learning/Data Scientist Engineer to join our hybrid company in Houston, Tx. Candidates should be interested in building intelligent space systems to modernize satellites' operations.
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Role description:As a Senior Data Center Power Distribution Engineer you will lead the electrical discipline of multiple concurrent data center projects through pursuit, proposal, design, and construction phases.
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The Controls & Instrument Engineer will be responsible for checking and approving drawings / designs; interface communication, and ensuring the accuracy, reliability, efficiency, and safety of the electrical scope of work for Hyperscale Data Center Modules meets customer’s requirements and Industrial Standards.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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data warehouse metadata jobs in Houston, TX
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