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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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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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Experience in Data Migration to Snowflake cloud data warehouseExperience in developing DBT models to transform data into useful, actionable informationExpertise in designing ETL frameworks with several years of hands on experience in implementing several aspects of data pipelines including ingestion, transformation, data quality checks, monitoring, alerts, notifications etc.
$99,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Support NGA in developing or reviewing TRD training materials, geospatial production workflows using ArcGIS Defense Solutions, and data quality assurance procedures, including the use of Geospatial Analysis Integrity Tool (GAIT), to evaluate co-produced data.
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Our team covers the full range of data analytics and data science, including data architecture, data engineering, data visualization, predictive analytics, machine learning, and robotic process automation (RPA.
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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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Perform data cleansing, data integration, and data quality assurance activities. You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis.
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As an advanced data scientist and researcher on our Artificial Intelligence team, you'll learn and apply innovative AI, machine learning, and data science methodologies to make a real-world impact on enabling climate resilience and preparedness for the nation's infrastructure.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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Experience manipulating data in PostgreSQL, ORACLE, SQL, or ACCESS database management system to ensure correct format, quality, and structure for analysis, modeling and producing valuable insights.
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Experience with data quality assurance procedures, including the use of scripting, batch protocols, and Geospatial Analysis Integrity Tool (GAIT). A QA specialist shall use an understanding of geography, research, GIS, and data conflation and management skills to verify the accuracy and completeness of a broad array of NGA data sets, produced cartographic products, and written reports, while meeting deadlines in a high-tempo environment.
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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 Today - UpvoteDownvoteShare Job
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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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Supervises the Data Engineering Manager, overseeing database administration, data integrity, quality, reporting, statistics, and predictive analytics. Reports to the DevOps Manager and oversees data center operations and production availability.
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Demonstrated experience in data center operations, system administration, database management, help desk operations, network design, project management, and technical support. Maintains data sharing, networking connections, and reporting requirements with RPC partners and PRM in accordance with documented agreements.
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data quality jobs Title: data manager Company: Premier Research in Springfield, VA
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.