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Big Data Confluent KAFKA Administrator Tech Lead. Expert on Kafka Big Data solutions along with sound understanding of Kafka architecture. Minimum 4 years of experience in setting up the environment for solutions that collects and process data using Kafka Spark, Scala.
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Good knowledge and hands on experience in development of Big Data platform & Cloudera Infrastructure (minimum 3-4 yrs.) Strong Hands on experience in design & development of Big Data, Spark, Python, Hive, SQL, ETL Tools.
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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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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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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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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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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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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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O Experience in Security Analytics, SIEM, Big Data, Cloud or Threat Intelligence required, within the target region. The Anomali Copilot navigates a proprietary cloud-native security data lake that consolidates legacy attempts at visibility and provides first-in-market speed, scale, and performance while reducing the cost of security analytics.
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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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Previous experience in Data Analysis, Compliance, Business Insurance and/or Contract management including onboarding and compliance checks. We see the big picture today while we build a long-term perspective of tomorrow that anticipates change and enables us to be confident and agile with our advice.
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Implemented and supported any enterprise product such as any well-known ERP products, Data warehouse, Middleware etc. Perform Kafka Cluster build, MRC, including Design, Infrastructure planning, High Availability and Disaster Recovery.
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Knowledge of Python/Big Data, Spark and Ab Initio is plus. Hands-on experience in Core Java, Multi-Threading, Spring, hands-on experience in Micro Services, Containerization platform using Docker/Kubernetes.
$170,760 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Responsibilities G3 is looking for a Data Scientist to develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines.
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Deloitte's tax professionals use our proprietary Depreciation Analysis & Reporting Tool (DART) to help clients drive efficient tax cost recovery calculations and planning through advanced technologies and data analytics.
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