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A PhD (or equivalent experience) from Mechanical Engineering, Aerospace Engineering, Computer Science, Chemical Engineering, or Electrical Engineering with a focus on Control Theory and Applications, Robotics, Mechatronics, Machine Learning, or Data Analytics.
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As a member of our Low Carbon Solutions Data Science & Analytics team, you will work on problems in emerging technologies such as carbon capture and storage, hydrogen, sustainable lithium extraction, or advanced biofuels.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively. Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.
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This role presents an exciting opportunity for a seasoned data engineer to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes.
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2+ years of demonstrated experience and deep understanding in data architecture, data analysis, reporting, and basic understanding of data science techniques and implementation of large, scalable, and highly complex big data warehouse and data lake projects using cloud-native and open-source platforms and technologies is required.
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This policy affects all employees, residents, fellows, students, contractors, new hires, visiting scholars program participants, adjunct faculty, and volunteers who work, train, or collaborate at the John S. Dunn Behavioral Science Center.
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Bachelors degree in Computer Science or related field with at least 7+ years of experience in data engineering. Role Description: As a Data Engineer you must have at least 7+ years of experience.
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QualificationsAcademic and Professional Qualifications:•Bachelor's degree in Computer Science preferred, equivalent experience accepted•Strong SQL proficiency for story/bug verification and functional test automation•Coding proficiency in a high-level programming language (C# preferred): Java, Objective-C, C#, C/C.
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Data Warehouse, Database, Engineer, Computer Science, SQL, Technology, Engineering. Bachelors or Masters degree from an accredited university in Computer Science/Data Science/Information Technology or related field of study.
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Demonstrated hands-on expertise utilizing Python for programming, complemented by a strong foundation in data science and engineering practices. 4-10+ years of professional experience as Software Engineer, Data Engineer, Data Scientist, or Quantitative Developer/Researcher.
$150,001 - $800,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build out SQL queries and views, Power BI dashboards, and data science ML models, and present methodology and key insights to stakeholders. Preferred Education requirement: Masters Degree in an advanced quantitative and/or scientific field, such as Data Science.
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Master's or Bachelor's degree in Data Science, Computer Science, or related field. Qualifications Of Data Engineer. Perks Of The Data Engineer. Duties Of Data Engineer.
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Description : A Data Engineer is responsible for developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that data flows smoothly from source to destination.
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Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Experience with big data tools: Hadoop, Spark, Kafka, etc. Develop data set processes for data modeling, mining, and production.
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Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization.
ExpandApply NowActive JobUpdated 9 days ago
science job Title: data engineer in Houston, TX
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