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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Blu Omega is seeking a motivated and detail-oriented Jr. to Mid-Level Databricks Data Analyst to join our team. The ideal candidate will have experience with Databricks in Azure and possess strong analytical skills to help drive data-driven decision-making processes.
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Ability to use AWS, Oracle, SalesForce Sales Cloud, Data Cloud & Marketing Cloud;, Informatica MDM & ETL, and MuleSoft as platforms for Data Services. Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica.
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Our full spectrum of best-in-class services includes HVAC & refrigeration installations, remodels, service & maintenance; and energy solutions, including controls and lighting.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.
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Synthesize disparate sets of data from sources such as malware, cyber attack patterns, and closed and open-source intelligence to inform instrumentation and detections. Monitor internal and external data sources while leveraging vendor resources to gather intelligence from deep and dark web, covert communication channels, social media platforms and other OSINT sources.
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Conducts post dialysis assessment and patient discharge by evaluating treatment, documenting medication administration utilizing the appropriate protocols, assessing condition of vascular access, discharging the patient when vital signs are stable, and documenting and recording patient treatment data.
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The scope of responsibilities will include, but is not limited to: direct voter contact, cutting and managing turf, managing data and digital tools, relational organizing, voter registration activities, in-state communications (e.g. text, email, and other modes), and managing a large number of canvassers doing voter registration and other voter contact work.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. - Preparation of data for treatment planning systems Development/improvement of dose measurement systems and protocols and software for dosimetry purposes (including spreadsheets and databases.
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Georgia Tech has a variety of complementary strengths, including biomedical engineering, neuroscience, biochemistry, and data analysis in the life sciences. The School plays leadership roles in TRIAD, the cross-disciplinary NSF-funded center in data science, and the NSF-funded research training hub in Geometry and Topology (GTGT.
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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.) Extensive applied Agile experience, applied Scrum Master experience, and expertise in some/all the following: Medicaid - MMIS - MECT - Health care - Data warehouse - Analytics - JIRA.
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Support the execution of deployment and data migration scripts in Teamcenter. Expertise in administering Teamcenter and CAD Integrations (Creo, NX, AutoCAD, Solidworks, SolidEdge, Xpedition) & Teamcenter - ERP (SAP/Oracle) IntegrationWE VALUE.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT.
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data entry jobs Title: office assistant in Atlanta, GA
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