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Experience with real-time data streaming platforms such as Kafka and Kinesis. We provide a unified view of Orders/Orders-adjacent data at Square, and power a variety of interfaces for our teams and third-party developers to access that data.
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At least two (2) years of experience with Databricks - Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Proficiency in programming languages used in data science and machine learning (e.g., Python, R, Scala, Java) and experience with cloud computing platforms (Google Cloud Platform preferred). Reporting to the Clean Energy Data and Analytics Manager, your role focuses on harnessing machine learning and artificial intelligence to drive significant business value, improve operational efficiency, and foster innovation in Clean Energy solutions.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Customer Service Computer Job - Work from Home Part Time Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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SQL Server and other relevant data platforms Azure DevOps, GitHub, or other similar platforms Microsoft Azure or similar major cloud technology providers (AWS, GCP) Strong analytical, interpersonal, written, and verbal communication skills with customers, vendors, and other engineering teams, solving complex system problems together.
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Fiber optics, Multiplexes, Network topology, Frame Relay, Fractional T-1, SONET Network Technology, ATM, Private Line, Voice and Data. Ameritech AM5XT, Sage 935, Digital O-scope, Halcyon 704A, Para-scope test sets.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Strong experience and expertise with Extract, Transform, and Load (ETL) processes and principles (traditional data integration as well as iPaaS solutions); familiarity with multiple ETL tools is a bonus (e.g., Boomi, Alteryx, Workato, Talend.
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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. This is a full-time Image Data Engineer position in Cleveland, OH, with potential flexibility for remote work.
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The following experiences are a plus: Performing data analysis using data mining and visualization techniques (Tableau, SAS, SQL, R, Python and/or ACL)Executing integrated business and technology auditsAuditing Banking compliance functions within a bank or other financial services companyLeading audit engagement planning and reporting phases Compensation and BenefitsThe base pay range for this role is listed below.
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Implement and configure big data technologies as well as tune processes for performance at scale. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Assist in data review and writing water resources and geochemistry sections and/or reports for NEPA and/or baseline documents. Experience reviewing and analyzing geochemical sampling data.
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We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics.
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Applies scripting/programming languages within the application programming interfaces (APIs) native to commercial and/or open-source remote sensing/geospatial software applications to create automated/semi-automated geospatial workflows or custom tools for data processing and management, analysis, modeling, visualization and product generation.
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big data jobs Company: Kpmg in Salt Lake City, UT
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