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Data Engineer, Technology Consulting, Financial Services Office (Manager) (Multiple Positions), Ernst & Young LLP, Tampa, FL. Collaborate to deliver solutions utilizing leading big data platforms and cloud technologies (, Azure, Databricks, GCP, Cloudera, etc.
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Required Skills: Bachelor's degree Talend Data Integration and Big data Spark Ab Initio GDE and Co? Security Master Central(SMC) and securities reference data are global reference data management application responsible for sourcing securities/Events and pricing data from market vendors and internal Firm sources and providing it to downstream clients after applying client specific rules.
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The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
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Job Summary The Database Security Engineer is responsible for implementing and maintaining security systems that provide detection, prevention, containment and deterrence mechanisms to protect the integrity of relational database systems, AWS cloud native databases, NoSQL and big data platforms, and the data they contain.
$142,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Act a subject matter expert on one or more areas of database design, big data, cloud deployment, microservices, integration and has advanced knowledge of applications programming and can ensure application design adheres to the overall architecture blueprint for Services.
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Experience with big data technologies such as Hadoop, Spark, or cloud-based platforms like AWS, Google Cloud, or Azure. You understand the data science lifecycle and are experienced in development and implementation of advanced statistical models and machine learning algorithms.
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
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Support technology selection, building, testing, deployment, and documentation of the data platforms related to big data. Maintain an up-to-date knowledge on data security requirements.
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4 years of experience in big data technologies like Spark/Kafka/Hadoop/Spring framework Experience with database technologies including relational and NoSQL database, and should have knowledge of data modelling, query writing, indexing and optimization.
$80 an hourFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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4+ years of experience in big data technologies like Spark/kafka/Hadoop/Spring framework. Experience with database technologies including relational and NoSQL database , and should have knowledge of data modeling , query writing , indexing and optimization.
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Exposure on JDBC/Big Data connectivity with Tableau/Qlik. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Big data Engineer/ Developer with L3 Support is mandate. Skills: PySpark, Spark, Spark SQL, ETL, Hadoop, Databricks certification. Big data Engineer/ Developer with L3 Support is mandate.
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Act as a subject matter expert on one or more areas of database design, big data, cloud deployment, microservices, integration and has advanced knowledge of applications programming and can ensure application design adheres to the overall architecture blueprint for Services.
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Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Experience with data visualizations tools like SSRS, PowerBI & Tableau.
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big data jobs in Tampa, OH, Us
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