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Data Architect with ETRM (Energy, Trading and Risk Management) Job : Data Architect with ETRM skills oil and gas company background will be a good fit. · Conduct Database activities such as database creation, management, testing, programming on database, data engineering, reverse data engineering, reporting, analytics, data migration etc based on project requirement.
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Role Data Architect with ETRM (Energy, Trading and Risk Management) - oil and gas company background will be a good fit. Develop data architecture and lead the delivery of end-to-end data, integration, reporting solution for Utilities Systems cloud and hybrid hosting.
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We are seeking an experienced Petroleum Engineering (PE) professional to join our Unconventional Reservoir Engineering Department (URED). The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production.
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Hands on experience with data engineering tooling such as Databricks/Spark, Azure Data Factory. Strong understanding of data management practices – data engineering and pipeline development, warehousing, storage, lifecycle management, privacy, security etc.
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Data center construction and engineering. Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Develop tools for subsurface data visualization and processing in expediting deep learning workflows. Develop code for enhancing subsurface data quality to improve deep learning performance.
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Experience: Five years of experience in ontology, taxonomy, data science, data engineering, or machine learning. Five or more years of relevant work experience working in ontology and/or taxonomy roles, data science or data engineering.
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New Solutions: Provides technical expertise, application support, training, guidance, and written proposals that may include application products from Vendors such as Veritas, Commvault , EMC, IBM, Innovation Data Processing, Rocket, and other applications designed for data protection.
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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc. Experience with organizational adoption of transformational initiatives – Platform Engineering, DevOps, DevSecOps, Cloud Transformation, Application Modernization.
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In this role as an Engineering Systems Architect, you will be the lynch pin to convert human ideas into delivered production functionality. We’re doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$93,400 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Validated experience in a similar role such as Solutions Architect, Technical Consultant, or Pre-sales Engineer, with hands-on experience with GenAI Search or equivalent technologies. Collaborate closely with the account team, including the Account Executive and the Solutions Architect (Pre-sales engineer), to provide ongoing technical coverage and support, while the account team focuses on identifying new deals.
$55,200 - $291,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ETRM Data Architect. Design data migration, data quality solution. Data engineering and reverse data engineering. Role Description: Data Architect- 10 to 15 years of experience.
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U0026 -8+ years of experience in developing business applications for Machine Learning and Data Science workloads. u0026 You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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