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Additional Skills: Experience in data software development, using data technologies such as Relational & NoSQL databases, open data formats, and programming languages such as Python, Scala, and/or other frameworks, building data pipelines (ETL and ELT) with batch or streaming ingestion, error handling, loading, and transforming data, and developing with big data technologies such as Spark, Hadoop, and MapReduce.
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Domain expertise: insider threat, intelligence data sources (HUMINT, SIGINT, IMINT, and OSINT) As a Data Scientist, you will work directly with Department of Homeland Security managers.
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The Chief Data Officer will collaborate with peer agencies inside and outside of the Department to identify promising new technologies and best practices relevant to FTA’s lines of business and be a change manager to drive a shift in culture to adopt and learn new technology and data management/analysis.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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The EBSOD Solutions and Analytics team is seeking a Business and Data Intelligence Manager with experience and skills across multiple data analytics platforms, and reporting and data visualization tools such as Tableau, Power BI, Quicksight, Cognos, etc (i.e., tool agnostic) to create and manage BI and analytics solutions that turn data into knowledge.
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The role of an HR Data Visualization & Governance Analyst is essential to the HR Reporting and Analytics team. Utilize HR data and analytics expertise to impact business decisions, establishing an HR competitive advantage for our diverse retail brands, supply chain, and shared services customers.
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Strong experience working with Big Data technologies like Spark (Scala/Java), Design and development of robust application tier and backend architecture using big data platform technologies.
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Current certification as a Certified Tumor Registrar (CTR)/Oncology Data Specialist (ODS) by the National Cancer Registrars Association (NCRA) Prometheus Federal Services (PFS), a trusted partner to federal health and social services agencies, is seeking an Oncology Data Specialist (ODS) to support the Veteran’s Health Administration (VHA) in completing the VHA’s backlog of incomplete cases in suspense and performing case ascertainment, data curation and completing case submissions.
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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; and will demonstrate proficiency in analytics software (e.g., Business Intelligence, Tableau, Esri, Microsoft Power BI.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Physics, Computational Biology or equivalent experience. You have a strong background in data science, machine learning, graph mining, and graphical modeling algorithms.
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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.
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Familiarity/experience with data integration and data pipeline tools (e.g., Informatica, Synapse, Apache NiFi, Apache Airflow) The Enterprise Data team at client requires an ETL data engineer to support data operations for its Cloud Data Exchange.
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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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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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big data jobs Title: data manager Company: Accenture Contractor Jobs in Washington, DC
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