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Team Management Manage & Coordinate team of Data Steward, Business Intelligence, Data Engineering, Data Governance & Data Science. The role oversees the Data Platform team with Data Steward, Business Intelligence, Data Engineering, Data Governance, and Data Science.
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Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts. We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Expertise in the design, development, testing, and maturation of systems for Medical Diagnostics, Life Sciences, Analytical Science, or Scientific Instrumentation, involving a complex integration of fluidics, electro-mechanical and optical hardware, electronics, firmware, and embedded computing.
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This role has production responsibility for the organization s Epic Operational DB (Chronicles), Cogito Databases (Clarity & Caboodle), Cloud Data Platform (Snowflake), ETL Tools (SSIS, Fivetran, CData, dbt), Analytics Tools (Qlik, Astrato), Epic Cognitive Computing Models and Data Science toolset (Dataiku.
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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Data engineering, database engineering, business intelligence, or business analytics, Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required. required with AWS/Cloud development/computing and OpenCV experience.
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Rpi.edu), Data, the Future of Computing Institute, the Institute for Energy, the Built Environment, and Smart Systems, Center for Engineering and Precision Medicine, and centers including Center for Materials, Devices, and Integrated Systems, Center for Future Energy Systems, and Center for Mobility and Vertical Lift. Minimum Qualifications Candidates are required to possess a PhD or foreign degree equivalent - Applicants must meet stated minimum education and experience requirements.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible.
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Desired Skills Master’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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A Senior Administrator in the Cloud Data Platform team, operating within the Enterprise Data Services department, is tasked with orchestrating operational functions between Cloud Data Platform Leadership, Engineering and Analytics teams, and customers of the client.
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Knowledge of Linux systems optimization and administrationUnderstanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms. The AI/ML and Data Engineering Infrastructure organization works on building shared tools and platforms to be used across all of the Chan Zuckerberg Initiative, partnering and supporting the work of a wide range of Research Scientists, Data Scientists, AI Research Scientists, as well as a broad range of Engineers focusing on Education and Science domain problems.
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Experience building and leading teams of full-stack software, data and analytics engineers in a distributed devops model· Deep experience with cloud tooling and expertise in container native systems and associated security and scaling considerations – ability to work with and build tooling that works in a multi/hybrid cloud environment with modern CI/CD, IaC, DataOps, and DevSecOps best practices.
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Developing parameterized, interactive dashboards in QuiverIn addition to the above, the following skills and experience would also be desirable:Palantir Foundry Amplify data engineering certificationExperience of working with CI/CD technologies, building, and deploying Palantir data solutions to Cloud (AWS/Azure/Google Cloud), hands-on with Python, SQL, and Cloud provisioning tools To speak to a recruitment expert please contact MoreInformation.
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data science cloud computing systems engineering jobs Company: Amazon
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