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Knowledge of how to secure technologies such as SaaS services (e.g., O365, Salesforce), Application Design, Container Platforms (e.g., Docker, Kubernetes), Serverless, Big Data, Network, Operating Systems, Identity and Access Management.
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Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data and incorporating machine learning techniques in your projects.
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They use Tableau and Quick sight for Data Analysis and Apache Spark for Big Data Processing. V-Soft Consulting is currently hiring for a Data Engineer - Remote for our premier client.
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Js, Vue.js, d3. IntelliBridge delivers IT strategy, cloud, cybersecurity, application, data and analytics, enterprise IT, intelligence analysis, and mission operation support services to accelerate technical performance and efficiency for Defense, Civilian, and National Security & Federal Law Enforcement clients.
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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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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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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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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Experience working with military sea-based sensors and data (e.g. radar, electronic warfare, electro-optical, infrared, sonar, and weapons data.
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5+ years of extensive knowledge and experience in the Data technologies for Data Analytics, Data Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), N, JDBC, SQL, Java, Python, R.
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Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
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Demonstrated full lifecycle delivery and support experience with Big Data technology stacks include Azure Data Lake, Azure Synapse, Cosmos DB, Databricks, Oracle, Service Now (SNOW), etc.
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As a Quantitative Analyst 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 cloud 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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Piper Companies is seeking a Data Science Content Writer for a start up organization. The Data Science Content Writer can either reside in the Austin area or work remotely CST or EST hours.
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Ideally, you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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big data js jobs Company: Pwc in Arlington, VA
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