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Experience with COTS enterprise data visualization tools (e.g., Qlik, SAP Lumira) Experience with ADVANA, PYTHON, R languages, Visio, and Data Bricks. Ability to work iteratively with the business community to gather requirements and develop enterprise level visualizations using agile methods Experience developing data visualizations against ERP transactional and analytical data models Creates complex queries, and stored procedures to deliver dynamic data visualizations Requires Qlik Sense or Qlik View certification Eight (8) years + relevant experience Experience with complex custom-developed visualizations using D3, HTML, JavaScript, etc.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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The Data Engineering Manager will deliver the support for the management and operations of its U.S. Department of State (DOS), Bureau of Population, Refugees, and Migration (PRM) Refugee Processing Center (RPC) Operations.
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Bachelor's degree in Computer Science or data related field required and 8+ years experience. Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake.
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We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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Lead the development of data analytics and GIS products using tools such as AGOL, ArcGIS Hub, Tableau, and PowerBI to provide SBA with actionable insights for disaster management. Requirements Master’s degree in Information Systems, Business Administration, Data Science, or a related field.
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Basic QualificationsMaster’s degree in data science, justice, social work, psychology, education, or other social science related subject. Plan, organize and lead quality assurance tasks, particularly designing internal evaluation of services, building data infrastructure, data management and analysis, and data storytelling/visualization.
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Experience combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats. After the Contractor has made its review and assessment/s, NGA will perform a final approval assessment of the DNC/ENC/CPENC/LPC/DWC/TOD/SMENC/AML. Data conversion between different mapping file formats, including but not limited to VPF, S-57, S-101, ASCII.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Degree in a data related field computer science, management science, information technology, statistics), public health, medicine or healthcare, healthcare policy, public policy, social science, economics, or related field with 8 or more years of experience.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats Ability to utilize geographic names information from the GNDB. Ability to analyze imagery and non-imagery source information for application to NGA hydrographic products and databases.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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Cyber Investigator [ insider threat, data loss prevention, digital forensics ] – Senior AnalystThe Cyber Investigator provides expert-level contributions to AIG’s Information Security Office by protecting the company’s critical assets from internal threats and reducing overall risk.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Experience building data science and AI or ML solutions that support operational business and mission use cases. Experience with data engineering and data workflows using cloud-native solutions or tools, including Airflow, Luigi, or Prefect.
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data job Title: data science lead Company: Booz Allen Hamilton in Vienna, VA
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