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5 + years of hands-on experience in solution, data, architecture applied to multiple large-scale enterprise systems. 5+ years of large-scale digital transformation & AWS Cloud migration hands on experience with multiple technology areas like API, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, AI & ML etc.
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Experience with notebook environments and big data engineering tools such as: Databricks, Sage Maker, Google Colab, Jupyter, etc. Hands on experience with streaming tools such as: Kafka, Flume, Spark Streaming, or Flink.
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Hands-on technical expertise developing responsive web applications, including the design of the front-end presentation layer using modern techniques and integrating with back-end services and data sources in a API-based architecture that is hosted on Azure/AWS Cloud Platform.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Hands-on experience with SharePoint Online to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products). We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Apps/Power Automate, including basic Microsoft Dynamics 365 understanding.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Illustrative technologies or fields that the incumbent would be familiar with include big data, artificial intelligence/machine learning, open APIs, digital IDs, cloud computing, 5G, internet-of-things (IoT), distributed ledger technology, and others.
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Minimum Qualifications: 10+ years implementing Human Capital Management solutions as Technical Lead, experience implementing HCM SaaS applications, Hands-on development, maintenance, and support experience implementing/supporting OIC, HCM Cloud inbound & outbound integrations using BI Publisher, HCM extracts & OTBI reports, HCM Data Loader, Spreadsheet Loader.
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You will work to cultivate data science skills within the NIH by teaching courses to scientists on best data practices (e.g. Software and Data Carpentries, BrainHack Global as well as interfacing with specific neuroimaging repositories (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, The NIMH Data Archive.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Work with big data repositories like SnowFlake, Data Lake and streaming data. 5+ years of experience with event-based data movement, Spark, and Big Data repositories (including Snowflake, data lakes.
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Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker. Previous experience working or collaborating on Data Analytics or Data Science projects or initiatives.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Ensure alignment and partnership client internal stakeholders and vendors, establishing strong linkages with their service and product teams to support activities, covering on-premises and cloud technologies such as Azure Databricks, Azure PaaS services, Informatica Intelligent Cloud Services (IICS), Tibco Data Virtualization, Collibra, and Power BI.
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hands on big data jobs Company: Directv in Arlington, VA
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