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Candidates with oil and gas onshore field engineering experience across multiple domains (drilling, completions, production services) are preferred. University degree (Master's / Bachelor's) in a data-driven or energy field (mathematics, statistics, data analytics, petroleum engineering) or MBA.
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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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Hands-on experience (e.g. mechanically inclined hobbies, experience in mechanic shop, hands-on with mechanical systems, understanding of welding practices). 2-5 years of full-time professional engineering experience with an emphasis on Mechanical Engineering & Equipment Design.
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Provide hands-on operational field support to all manufacturing facilities including technical based troubleshooting of equipment, modifications of existing equipment, and installation of new equipment.
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Perform the IT coordination function which includes representing the division at the bi-monthly IT coordinator meetings; respond to EA, Center, and Agency data calls and actions; support the weekly IRD Enterprise Services Integration meeting (ISIM); IRD liaison for EUSO seat refreshes; route and escalate IT issues to the responsible Engineering or NASA IT support resource for mitigation.
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Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Preferred Hands on with creation of resources in catalog admin & onboarding various types of data sources/assets (both on premise & cloud) using EDC. Preferred Hands on with design, build & onboarding various of Axon facets (datasets, glossary, policy, workflows, dashboard, legal entities etc.
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Strong experience in AWS and Azure cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks. Hands on RDBMS experience (data modeling, analysis, programming, stored procedures.
$130,000 - $155,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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AI/ ML and RPA: Deep knowledge on AI/ ML solutions and/or RPA solutions and utilized them for solving a variety of outcomes like fraud detection, risk assessment, customer service automation, recommendations, trading, automating data entry, account reconciliation etc.
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Azure Active Directory, Azure Data Factory, Azure Data Lake, Azure Storage, Azure Functions, Azure Kubernetes Service, CosmosDB, Azure SQL Data Warehouse. Being able to address the: Business Process, Data, Application, Technical and Information Security aspects of an IT Solution and to document that in a High Level Design document.
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Data Integration and ETL: Develop and maintain advanced Data Engineering processes and patterns using Spark, Python, Scala, Databricks, Azure Data Factory and other relevant tools to integrate data from various sources.
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Hands-on experience (e.g., mechanically inclined hobbies, experience in mechanic shop, hands-on with mechanical systems, welding). Provide engineering support on mechanical equipment.
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The Document Control Specialist works closely with the Design Services Group, the Drawing Records Management Group, and the Project Manager, on multiple projects, to coordinate the acquisition and organization of project documentation within the company's Records Management System.
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The ideal candidate will have a strong background in chemistry, chemical engineering, materials science, and catalysis, with hands-on experience in synthesis and development of novel catalyst synthesis and characterization techniques.
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Lead the asset data automation scope, services, budget, and schedule for OpEx data automation for each asset location which will receive a digital twin. Work with Global Engineering organization and automation manager to enable handover of a data hub and develop a functioning digital twin for use by the AP O&M organization.
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data engineering services hands on jobs Company: Dice in Houston, TX
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