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G-Research is seeking a DevOps focused Infrastructure Engineer, with deep experience in HDFS, YARN and the Hadoop ecosystem, to join its growing Big Data Platform Engineering team.
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Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes), code management tools and frameworks (e.g., Ci/CD, Git) for understanding and managing big data solutions.
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Requirements: Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Experience managing full cycles of curriculum design including facilitator user guides, participant workbooks, presentation decks, eLearning, videos, job aids, and other learning collateral.
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GCP Data & Analytics Solution Architect with 12+ years of experience in Data Analytics and Big Data. Responsible for design, development, implementation, operation improvement and debug BI & Big Data Analytics environments on premise or on Google Cloud Management Platform.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Experience in A/B testing, multivariate testing, and data-driven decision-making to enhance user experiences and achieve business goals. Proficiency in JavaScript for building interactive and dynamic user interfaces, and experience with modern front-end frameworks such as React, Angular, or Vue.js.
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We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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This Big Data Analyst helps Southwest deliver on our Purpose by working with all Data Science, Machine Learning, and Artificial Intelligence Teams across the enterprise to enable model deployment, implement and maintain model accuracy, and monitor data drift.
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Experience advising sophisticated clients - both business and legal leaders - on complex legal, regulatory, and policy questions in the areas of cybersecurity, privacy, emerging technology law, strategic data governance, and artificial intelligence.
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Security Platform Engineering - we research, implement, and support the platforms and tooling leveraged by other teams within GCDI to perform security automation and response, real-time and scheduled log analysis, data science modeling, and customized SDLC workflows.
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RIC is responsible for the Human Research Protection Program (HRPP)/Institutional Review Board (IRB), Institutional Animal Care and Use Committee (IACUC), Institutional Biosafety Committee (IBC), the Responsible Conduct of Research (RCR) Program, the Research Financial Conflict of Interest, Export Control, and NAGPRA. In addition, RIC provides support in cases of alleged research misconduct, assists in reviewing data sharing agreements, and executes reliance agreements.
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Considering business objectives, user feedback, and data insights, you'll work across a suite of HR products (such as ServiceNow, WalkMe, and Workday ) and digital channels (websites, self-help articles, virtual assistant/chatbot conversations, notifications, on-screen help, etc.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
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artificial intelligence research and development big data user experience jobs Title: engineer in Dallas, TX
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