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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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With MTSI you will design and curate data representation models, standards, and architectures in concert with data scientists, system engineers, and database engineers to enable a wide range of data query and analysis, data acquisition, data translation, and archive recovery activities.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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We are seeking an experienced Data Engineer (DataBricks) to join our team! As a Data Engineer, you will provide advanced prototype solutions that resolvedataflow and processing issues and enable systemic improvements.
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The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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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 Master. Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
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BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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This is your opportunity to use your experience with ERP/ERM/CX Sales & Service/HCM to make a big splash in your career. Oracle's outstanding suite of products-including Oracle Cloud Enterprise Resource Management (ERP), Enterprise Performance Management (EPM), and Supply Chain Management (SCM), Customer Experience in Sales and Service (CX), and Human Capital Management (HCM) -provides end-to-end solutions with mobile optimization through cloud deployments.
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As a Data Scientist/ORSA with MTSI you will inform and improve the decision-making of a large, complex organization through the systematic employment of advanced, science-based, data-driven analytical methods.
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You'll grow your skills in data science, AI, machine learning, operationalization, predictive modeling, and more. As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Advanced analytical and big data analysis skills. Load, transform, and rationalize data from systems of record (e.g., General Ledger, Resource Management, Asset Manager, CMDB) into the Apptio interface.
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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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4) Current Network Security applications, services and appliances including Identity Management, Network Access Control, Application Layer Inspection, Content and Malware Filtering, Data Loss and Intrusion Prevention, zero-day threats, IPsec and SSL VPN, PKI, Two-Factor Authentication and other.
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
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Synergy is seeking an experienced Database Engineer provide technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis.
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big data jobs Title: devops engineer Company: Oracle in Annapolis, MD
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