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Work with customer data and own the development of an AI solution from ideation to productionLeverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.
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In this role, you will be the strategic business partner to the business unit working together to identify big ideas on innovation, customer engagement, pricing, and route to market that drive significant growth to the business and for Ocean Spray.
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The Solution Architect will specialize in Data Management, Big Data, and Analytics. Minimum 5+ years of hands-on Data Management, Big Data, Master Data governance, and analytics solution design, development, and implementation experience that include MS Synapse, Azure Data Lake, Azure Data Factory, Snowflake, SSIS, SSRS, and/or Power BI.
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Commercial grade database management system, data warehouses and/or big data such as SAP HANA, Oracle, MS SQL, Hadoop, or cloud computing platforms (Azure, Google, AWS, etc. The Principal Enterprise Data Architect should have an in-depth understanding of healthcare data and analytics, data warehousing, Business Intelligence, Epic Cogito, cloud computing, how to leverage data science solutions and AI, and electronic health records platforms.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. & data visualization software (Power BI, Adobe Analytics, Excel, etc.
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Program and data analysis skills are strongly preferred, including Python, linux/bash, and R. experience with neuroimaging tools (SPM, AFNI, FSL) is preferred but not required. The Data Analyst Associate will lead a new effort that will synthesize available data from clinical trials of classic psychedelics, MDMA, and ketamine via a series of meta-analyses and systematic reviews.
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5+ years experience as a logistics analyst, operations researcher, data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.
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Develops and maintains enterprise infrastructure by creating efficient, adoptable frameworks to be used across the organization for the data operations platforms in use like Databricks, EMR, AWS services, and 3rd party monitoring tools like Monte Carlo and Datadog.
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You have strong data science skills , including thorough experience with Python data packages, classical machine learning libraries and deep learning frameworks, and data visualization.
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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) Join our world-class team of empathetic, enthusiastic, and creative people who can work on some of the toughest big data problems.
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We seek a skilled Data Architect with expertise in Data Platforms to join our team. As a Data Architect, you will also be responsible for developing and architecting data strategies that will enable secure and performant use of the data platform for BI solutions, advanced analytics and querying engine.
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Information Systems & Computing (ISC) is the University of Pennsylvania’s central IT organization, providing the core network, data, voice, video, and enterprise application infrastructure and services upon which Penn’s numerous Schools and Centers build their unique tools and capabilities.
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5+ years of demonstrated experience in managing and analyzing largescale datasets using data management and statistical software (e.g., R, SAS, SQL, Stata). Advanced degree in data science, statistics, health economics, finance, public health, public policy, or other related fields.
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big data jobs Title: big data architect Company: Optello
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