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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
$134,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The contractor shall create a semi-automatic process for the lexicon search framework that outputs data into a format consumable by the Insider Threat analyst. 8 years’ experience in Architecture Council Experience with data science techniques, classical machine learning, and deep learning for anomaly detection.
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Skills: Azure Data Factory, Data Analytics, Data Architecture, Data Integration, Microsoft Power BI. Working together with the BI developers deploying data pipelines & data transformations which turn the raw data into relevant datasets and insights (using Databricks, Azure Data Factory.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark). Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
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A working knowledge and understanding of the following concepts: Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering.
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As a Data Engineer, you should possess expertise in creating large-scale data engineering pipelines, end to end ETL load processes, designing and architecting ETL load processes, understanding admin, scheduling and infrastructure technologies supporting data warehouse platform, modern data-centric coding languages, development frameworks, and ETL load processes.
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Currently enrolled in an MA or PhD program in a field that emphasizes quantitative social science research, such as Industrial/Organizational (I/O) Psychology, Economics, Behavioral Science, Data Science or Analytics, or a related field.
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Develop and maintain insider threat risk scoring and other data analytics tools for customers to support insider threat detection and data analysis implementations. Educate relevant stakeholders in the theoretical and empirical bases of data science and behavioral science related to the deterrence, detection and mitigation of potential threats by providing or contributing to expert training briefs, presentations and educational courses.
$168,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Responsibilities Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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A highly motivated data scientist, machine learning engineer, or experienced software engineer looking to transition into machine learning. 3+ years relevant applied experience in data science, machine learning, computer vision, or NLP (or very strong engineering skills and the ability to learn quickly.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis. Veteran Firm Seeking Senior Data Engineer for a Hybrid Assignment in Crystal City or Alexandria, VA.
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Title: data Company: Comscore Networks in Arlington, VA
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