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You will be the ‘go to’ engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:- Perform design and equipment submittal review for new Data Centers in your region.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Master's degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
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Data Science Enabled Engineering : Development of data-science (DS) methods and data-driven algorithms with applications to Advanced Manufacturing, Robotics, Artificial Intelligence (AI)- and Machine Learning (ML)-based Engineering Design and Optimization, Integrated Computational Manufacturing and Material Engineering ( ICME.
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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A career in Product Development and Manufacturing, within Operations Consulting, will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics.
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Digital Engineering Application (PLM, ALM, PPM) Configuration and/or Deployment; We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology.
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TRC is seeking an Engineering Technician in the San Francisco and/or Oakland market to provide technical support to our commercial, institutional, and residential energy efficiency and green building programs in California and across the nation.
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You’ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Engineering Decision Support & Analytics; and.
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Digital Engineering Blueprint & Design; Digital Engineering Strategy Development; Engineering Cloud Solutions; Our Product Development and Manufacturing team expertly combines Strategy, Operational, and Digital consulting capabilities to help our clients innovate, develop and manufacture products in a manner that helps establish differentiated products, significantly increases operational efficiency and drives new levels of enterprise-wide growth in a connected world.
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Product Development Strategy & Operations; and, Contribute technical knowledge in area of specialism. Teamcenter, PTC Windchill experience. Technology: Hardware/Electronics; Systems; Software; Semiconductor; or, Telecommunications.
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2 years of AIOps experience - Automating (MLP, Deep Learning, or LLM Models) via cloud data engineering pipelines within Azure Synapse and Databricks. For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground.
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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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data engineering jobs Title: product technical Company: Amazon Data Services Inc
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