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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products.
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You will partner closely with the leaders of Onyx’s engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading Data Engineering products that power downstream consumption of petabytes of business-critical data.
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7+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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GMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process.
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Strong understanding of data engineering tools (Spark, Airflow, PySpark, Kafka, Hive, SQL/NoSQL); working knowledge with at least one programming language (Python, Java, Scala. Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for our Data Engineering product portfolio, aligned with the Onyx’s overall product vision and objectives.
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Experience with open source data visualization software such as ParaView. Basic knowledge of numerical methods, Scientific Visualization, and data compression. This candidate will be responsible for implementing state-of-the-art data visuilization algorithms, developing real-time large scale rendering capabilities, and discovcering novel ways to interact with large Computational Fluid Dynamics (CFD) data sets.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. Identify, document, and promote data engineering best practices on the team and in the larger organization.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience in data engineering, including data pipeline development, ETL/ELT processes, and data modeling. Proactively identify opportunities to improve data engineering practices and contribute to the evolution of data infrastructure.
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Knowledge of how to develop dashboards & working with Looker or other business intelligence/data visualization tools. Responsibilities Build & maintain effective relationships with Product Management, Design, Engineering, Data Science & other stakeholders to deliver on department programs & objectives.
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Energy Institute, the Washington Clean Energy Testbed, the NSF STC for Integration of Modern Optoelectronic Materials on Demand (IMOD), the Molecular Engineering & Sciences Institute, the Nanoengineering and Sciences Institute, eScience Institute, Institute for Medical Data Science (IMDS), and many others.
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EOSID specializes in the complete optical imaging and remote sensing chain, from the analysis, design, development, integration, test and evaluation of imaging and sensing systems, to the processing, exploitation, and visualization of data and imagery.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Experience with data visualization tools, such as ArcGIS Experience Builder or ArcGIS Dashboard, for presenting geospatial data insights. GIS Analyst & Data Steward. Knowledge of programming languages, such as Python, SQL, or Arcade for data manipulation and analysis.
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Experience working with various data visualization tools (e.g., Tableau, Power BI, Oracle Analytics Cloud etc.) Principal Data Engineering & Analytics & AI Hitec Manufacturing, Telco/Media.
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modern data visualization engineering jobs Company: Chenega Corporation
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