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Fields of Data Management, Geology, Geophysics, Reservoir Management, Petroleum Engineering, MIS, or Computer Science are especially preferred. Data analysis and/or data engineering using SQL, Python, or similar.
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In-depth knowledge and understanding of one or more relevant core businesses (downstream refining, petrochemicals, midstream, and upstream) and emerging technologies related to corporate sustainability (Circular carbon economy; CO2 capture, utilization and storage; nonmetallic materials; sustainable plastics; artificial intelligence; and industrial sensoring and mo.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Company Overview: A leading renewable energy company, dedicated to advancing sustainable energy solutions, is seeking a highly skilled and experienced Operations and Engineering Manager to join their team in Houston, TX. The company focuses on innovative and cutting-edge technologies in the energy sector, with a strong emphasis on battery storage systems.
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PO&G acquires conventional and unconventional oil and gas properties and increases their value by improving operations such as artificial lift, water flood optimization, and vertical infill drilling.
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Reservoir Engineering Support and Business Planning: Assist Reservoir Engineers in identifying and proposing solutions for pattern performance issues in waterflood and CO2 floods, such as out of zone injections and poor injection distribution.
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KNOWLEDGE, SKILLS, AND EXPERIENCE:MUST HAVE a Masters or PhD in Civil Engineering, Environmental Engineering, Chemical Engineering, Applied Physics or similar with emphasis on Fluid dynamics, Atmospheric Science or Environmental Science At least 2 years of experience in Methane emissions related roleStrong background with demonstrated experience conducting fieldwork, including air quality and/or emissions sampling.
$90,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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And reservoir engineering. This includes production management and optimization (operated and non-op lease operating expense supervision, artificial lift design, etc.) and reservoir engineering.
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8+ years of experience with Data Engineering, ETL, data warehouse/data mart development, data lake development. Our mission is to accelerate business growth and drive operational efficiencies by extracting insights from data, predicting business outcomes and embedding intelligence into business processes.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
$55,250 - $99,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will play an important role in building out the data science practice within the engineering group. We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Requirements: Preferred qualifications include teaching/research experience in one or more of the following areas: Healthcare, Supply Chain Management, Analytics, or Artificial Intelligence.
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You will use broad and deep technical knowledge in the data engineering space to tackle complex data problems for product teams, with a core focus on using technical expertise. You will work independently on complex data modelling problems to support data engineering and data science enablement strategy of Data and Analytics.
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The role requires a strong understanding of Data Warehouse architecture, business intelligence systems, and the ability to work collaboratively with business users and technical teams. Job Description: We are seeking an experienced ETL Informatica Developer to design and develop scalable ETL processes and Data Warehouses (EDW) using tools such as Microsoft SQL Server, Oracle, Netezza, and Informatica.
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data engineering artificial intelligence jobs Title: engineer in Houston, Vienna, West Virginia
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