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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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Experience with big data tools: Hadoop, Spark, Kafka, etc. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Develop data set processes for data modeling, mining, and production.
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The Senior Data Engineer will collaborate closely with cross-functional teams to ensure efficient data management practices that enable informed decision-making and advance the organization's public health goals.
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SOFTWARE ENGINEER - DATA sought by SMBC Manubank in Los Angeles, CA. JOB REQUIREMENTS: Requires a Master's degree in Computer Science, Information Systems, Computer Engineering or related field, plus three (3) years of software engineering or related development experience using Java, Python or Scala, including experience with build and deployments on application servers; and working with the open-source Java ecosystem and the libraries available for common tasks.
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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.
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The Data Engineer would be responsible for gathering data across multiple sources and business lines for the data science and AI/ML teams to use. A midstream Oil & Gas client of Insight Global's is seeking a Senior Azure Data Engineer in Houston, TX. He/she will work closely with data architects and stakeholders to design and develop scalable data solutions on the Azure platform.
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Whilst being physically co-located with the trading teams, the engineer will be part of the global Data Science and Engineering Team who are responsible for the ingestion and management of market and fundamental data, as well as providing cloud-based infrastructure for the use of research analysts, traders and data scientists.
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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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Relevant experience must be in one or more of the following (for Entry level) but in two or more for Full Performance, Senior, and Expert levels: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering.
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We are a science lab spinning trade data in the centrifuge of math and technology to parse financial frontiers and optimize results. · Minimum of a Bachelor’s degree in a technical field such as computer science, data science, physics, engineering etc.
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Master's or Bachelor's degree in Data Science, Computer Science, or related field. Experience with big data architectures (e.g. Spark, Azure, Snowflake) Proficiency in SQL, Python and other data engineering tools.
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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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Master or Bachelor degree in STEM (Computer Science, Data Science) Contribute to the data science transformation. Our upstream oil and gas client is looking for a Data Engineer.
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Employer will accept a Bachelor's degree in Computer Science, Computer Engineering, or in a related field and 3 years of experience in the job offered or in a Data Engineer-related occupation.
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