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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure 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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Lead the planning, design, and execution of the data migration strategy from Oracle Apps EBS Suite, SQL Server, SharePoint, and unstructured data sources to Microsoft Dynamics 365 CRM. in Alexandria, we are seeking the individual to lead our organization through a critical migration project, transitioning from Oracle Apps EBS Suite, SQL Server databases, SharePoint lists, and various unstructured data sources to Microsoft Dynamics 365 CRM. This role will require a blend of technical expertise, strategic planning, and team leadership to ensure a seamless, efficient migration process.
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The Blackspoke Team consists of various experts within the IC that are highly focused on Cloud Architecture & Design, Data Architects & Scientists, Data Visualization Experts, User Interface & User Experience (UI/UX) Experts, Database Warehouse & Mining Experts, and Scrum Masters that will help achieve and mission objectives.
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Systems Planning and Analysis has an immediate need for a Data Scientist to provide onsite support in Lorton, VA. Responsibilities The Data Scientist SME will provide Advisory and Assistance Support (A&AS) to the Defense Threat Reduction Agency (DTRA), Chemical and Biological Technologies Department, Digital Battlespace Management Division (RD-CBI.
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As a Data Scientist Senior Technical Specialist, some of your duties will include: Involvement in the analyses of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), natural language processing (NLP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Minimum of 5 years' experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). Leading and managing a set of engineering-driven initiatives from ideation through delivery to production of high impact digital transformation and platform modernization initiatives utilizing data engineering and AI/ML technologies, while optimizing Agile practices and methodologies to enhance speed, flexibility, and delivery efficiency.
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Experience working on data science or image science problems that require subject matter expertise in remote sensing, government collection platforms and image datasets, panchromatic imagery (PAN), multispectral imagery (MSI), and synthetic aperture radar (SAR) imagery.
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Serve as a Subject Matter Expert (SME) on development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards.
$112,000 - $179,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Senior Administrative Specialist/Data Analyst. Ability to identify, analyze and interpret trends or patterns in complex data sets with the purpose of understanding or making conclusions from the data for decision making purposes using statistical tools like Microsoft Excel, Access, SPSS and others.
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The Lead Data Modeler serves as the Subject Matter Expert and technical lead for the development, profiling, and application of GEOINT data content standards. Experienced using data and system modeling tools such as Sparx Enterprise Architect.
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Extensive knowledge of programming languages (e.g., Python, Java, JavaScript, SQL, Pig or R), spatial analysis tools and concepts, data mining methods, database structures and analytic information extraction and visualization.
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Experience and knowledge of AWS data analytics tools such as Athena, Glue, RedShift, RDS, Step Functions and other AWS native databases. Design and implement data ingestion pipelines using AWS services such as DMS, DataSync, Glue, Athena, Lambda, S3, RDS, and Step Functions.
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Will maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. Experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc.
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As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. AWS Certifications, such as AWS Certified Solutions Architect - Associate or Professional, AWS Certified Data Analytics - Specialty, and AWS Certified Database.
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Title: data in Fort Belvoir, VA
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