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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. Collaborating closely with other data scientists, security experts, and software engineers, you will play a key role in fostering a secure digital environment.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Proficiency with Power BI, data analysis, data query, data aggregation, data visualization, software development, system architecture, data transformation, data management, and big data technology.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Implement data architecture initiatives on data quality, data governance, data standards, and data policies across all core business functions to ensure consistency in data definitions and data usage Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation.
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Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Experience related to Electronic Security, Audiovisual, DAS and/or Data Network/Wi-Fi/Telephony is a big plus. Your Impact Provide designs for telecommunications systems (Structured cabling systems, telecom spaces, and pathway infrastructure) and other related disciplines such as electronic security, audiovisual, and data network systems.
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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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Uses multiple contracting and financial systems (COMPASS, GFEBS, DEAMS, CRIS, EDA) to extract, validate, and reconcile data. This is a full-time position with our company and the project is with DHA. This is an onsite role in Washington DC. Deadline to submit your application: August 15th, 2024 Summary: Job Summary: Works independently on NCR-WRNMMC wide project supporting all general COMPASS task categories—data extraction, data entry, analyses, cleansing, correction, 2nd level quality control, Workflow and HCM data processing, internal/external training, and reporting.
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
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big data jobs Title: network software engineer Company: Apple in Silver Spring, MD
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