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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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Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing.
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Engineering experience in big data environments, including data lakes, Azure Synapse, Databricks, Redshift, Snowflake. Build data engineering solutions in a Databricks/Azure data ecosystem that includes an enterprise data lake, data warehouse, and streaming analytics.
$46 an hourInternExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be 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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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Java/JEE, Spring MVC, Spring Batch, Spring Boot, Spring Integration, Spring Security, Hibernate, MyBatis, AngularJS, REST and SOAP Web Services, Git, Maven, Jenkins, Junit and TestNG, Maven, Ant, XML, MyEclipse, Unix, Big Data.
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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Serve as a computational linguistic expert responsible for leading and managing data analytical and linguistics research project to analyze users' utterances and improve the Natural Language Processing (NLP) model of the virtual assistant.
$263,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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The design of data architecture solutions for virtualization, big data analytics, and cloud computing. Experience with Databricks platform, security features, Unity Catalog, and data access control.
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Preferred Skills: Experience with BASH Scripting, kickstart deployments, Big Data solutions, Nutanix, Splunk, AWS/Azure, and/or HPE storage solutions. Preferred Skills: Experience with BASH Scripting, kickstart deployments, Big Data solutions, Nutanix, Splunk, AWS/Azure, and/or HPE storage solutions.
$179,615 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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big data jobs Title: forklift in Vienna, VA
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