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Agile Scrum master (Program Management) role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, HBase, Docker-Container, Pod man, OpenShift / Kubernetes, Ansible and many more.
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Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development.
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The ideal candidate will also have a foundational understanding of big data platforms like Databricks, platform automation using Python and APIs, server-side experience with Linux OS, and a solid grasp of AWS fundamentals.
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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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Job Description :Infosys is seeking an Google Cloud Platform Lead Developer with experience working in a Big Data ecosystem. Hands on-experience working with technologies like – Google Cloud Platform with data engineering – data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query.
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Experience with Smartsheet Dynamic View, Data Shuttle, Data Mesh, Pivot, and Control Center. Knowledge of data integration tools and experience integrating SAAS applications with different business systems (ETL, CRM, business analytics, reporting, etc.
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Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, SESC is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.
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Experience working in the database domain with at least two (2) years of experience managing all operations of Big Data stack preferably Cloudera in a Cloud Environment. Experience with big data tools such as HBASE, Spark, Python, SpliceMachine, MongoDB, NoSQL based decision systems.
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Demonstrated history of working in Business Transformation, ERP Implementation, Master Data Management, and enterprise Integration. Ability to do a deep dive into functional components and controls while simultaneously seeing the big picture and connecting all the dots.
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Nice to have an understanding of big data related technologies and DevOps (Dockers, Singularity). Working experience in most of the common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP, working with IoT data.
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Experience with big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks, Dremio etc. Using our proprietary solution set, GxFource , we apply machine learning techniques and predictive analytics tools as part of a broad artificial intelligence strategy that provides effective impact and data-driven business transformation.
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Experience with big data platforms like Hadoop, Spark, or Kafka. Use big data and machine learning to build predictive models and to find insights within unstructured and structured data sets.
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Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. ACAT I or equivalent program experience implementing government and DoD-adopted industry CM/DM policies to accomplish requirements management, change management, deficiency reporting, production and delivery, and data management against the performance, functional, and physical baselines over the weapon system life cycle.
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NET Core, Azure Cloud, DevOps, Big Data, AI and ML technologies. or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services or Google Cloud Platform (Google Cloud Platform)PreferredSolid understanding and hand-on data structures, Object Oriented Concepts, and microservices.
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You will be responsible to design, develop and maintain data systems and processes that support our business applications. Additional Responsibilities include:Design and maintain data models, data types, data integrations and data classifications that align with business requirements.
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big data jobs Company: Dice in Fernley, Nevada
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