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Experience with SQL, Tableau, Power BI or other data visualization tools would be considered a plus. Develop high impact analysis that facilitates the transformation of complex data/information into actionable insights and recommendations.
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Proficiency in common geospatial software applications and data analysis scripting and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, MATLAB, R, Git, or Tableau.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Experience using open-source tools for spatial data analysis and visualization (eg. Leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Must have 1 year Cloud Data Engineering Support of a Microsoft Azure Data Warehouse. We are currently seeking an EDL Tier 1 Support Leader to form a new offshore Support Team. The team will have responsibility for monitoring and responding to the issues or failures in the Cloud Data Engineering processes for data processing and loading.
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POC for building an embedding store leveraging autoencoders Build frameworks to fast-track model development to deployment lifecycles Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.
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Minimum five years of recent experience in cyber security operations, such as data loss prevention, data discovery and classification, threat detection engineering, threat analysis, threat hunting, incident response, vulnerability, and configuration monitoring with the goal of attack surface reduction.
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Data Analysis: Proficiency in data science tasks, including data visualization, analyzing large datasets, predictive analytics, machine learning, natural language processing, identifying trends, and drawing actionable insights.
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KPMG is currently seeking a Cyber Operations Content Development & Engineering to join our Enterprise Security Services organization. Bachelor's degree from an accredited college or university is preferred; relevant certifications include CISSP, CCSP, CCSK, GSEC, GCIH, GCFE, GCFA, SC-200, CEH, and AZ-900.
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Throughout your internship, you will have the opportunity to apply your education to meaningful projects while developing skills in Critical Thinking, Strong Analytical Capability, Effective Communication, Data Analysis, Analytics, Data Visualization & Modeling Skills, Financial Acumen.
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Encourages the furthering of modern data engineering in our enterprise through a demonstrated ability to automate processes using Python. Leads and collaborates with data engineers in development strategies and promoting data engineering best practices.
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Assists the physician with the performance of various diagnostic and interventional procedures, by monitoring, passing instruments and catheters, observing patient response to procedure, maintaining sterile field, interpreting and evaluating diagnostic data to be utilized by the physician.
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Cloud-based data ecosystems in AWS, Azure, or GCP. For example, in AWS services like S3, Kinesis, EMR, Athena, or Redshift. This will include data strategy, data lineage, data warehousing and storage, cloud architecture storage, optimization, Spark, Hive, Scala, Big Data, and a deep understanding of how data is stored and accessed in a modern environment.
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Optimize equipment reliability and maintenance cost through the use of predictive/analytical technologies such as PI system (Plant Information Monitoring and Data Storage System) and Analyst (Turbine Vibration Analyst.
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Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization. Must have practical experience assisting clients with development of one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
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data visualization engineering jobs Company: Morgan Stanley in Overland, MO
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