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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
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Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Certification in Information, Data, Privacy Records, or Security such as CIPP, CIPM, CRM, CIPT, CISSP, IGP, CISM, and CISA is a plus, but not a requirement. Third Party Risk Management: Advises on appropriate sharing of Personal Data with external parties (e.g., clients, partners, vendors, and donors), including, where appropriate, with support from and in consultation with IDB Invest Legal department.
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Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired. Hands-on experience with D365 Customer Experience / Dynamics CRM / PowerApps / Power Automate technical solutions.
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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Under the general supervision of the leadership for the Governance, Risk Management and Compliance Accelerator (GRC Accelerator) capital project, the Senior Technical Business Analyst – Integrated Risk Management & SecOps is expected to provide technical business analysis expertise in the area of assessing, identifying, designing/re-designing, and implementing cybersecurity, enterprise risk and data privacy processes in a GRC platform.
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Be the sector Subject Matter Expert (SME) in the areas of Industrial Control Systems (ICS), Supervisory Contril and Data Acquisition (SCADA), Distributed Control Systems (DCS), Internet of Things (IoT), and other critical infrastructure systems protection, safety and security.
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At least 2 years of experience in big data technologies. As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Piper Companies is seeking a Data Scientist to join one of the nation's largest premier credit unions based in Mclean, VA. The Data Scientist's primary responsibility will be CECL modeling to analyze credit and prepayment risk, determine the allowance for loan losses, and support financial planning.
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Experience managing vulnerabilities in both on-premises systems and in cloud environments, (e.g. Amazon Web Services, Microsoft Azure, Google Cloud, and Data Centers). Experience analyzing data and identifying vulnerabilities.
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This is an exciting opportunity with a fast-growing team at the cutting-edge intersection of big data services and autonomous hardware. Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking.
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Use expertise in data modeling and SQL to administer, maintain, and improve database systems and ETL data pipelines to support Big Data analytics systems. Soft Tech Consulting is seeking a highly motivated, self-directed individual to fill the role of a Senior Data Scientist.
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Assist with the development and implementation for cloud security architectures for protecting sensitive data deployed into various cloud (AWS, Azure, GCP, etc.) A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science, from an ABET accredited or CAE designated institution fulfills the educational requirement.
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Subcategory: Big Data Engineer. To address the growing demands within the Department of Defense, SAIC is seeking a SAIC is looking for a highly skilled and dynamic Chief Data/AI Engineer to join our Digital and AI Team as we embark on a large initiative to lead the design and operate integrated Enterprise IT solutions that deliver AI-enabled capabilities and enable data-driven decision making to missions across the Department, Services, and Combatant Commands.
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big data jobs Title: manager Company: Accenture Contractor Jobs in Mclean, VA
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