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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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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Proficiency in Amazon Web Services (AWS) environment and tools such as SMS, Data Pipeline, and Relational Database (RDS.
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We're a company predominantly focused on cyber security for our government customers yet our expertise in other areas include big data analytics, instructional design, information management, and computer network infrastructure.
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Familiarity with big data technologies, (e.g., Elastic Search, Apache Hadoop, Spark, Kafka, etc. A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions.
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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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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. This is your chance to leverage your expertise in building enterprise cloud-native solutions involving Kubernetes, Rancher, AWS, and Azure.
$193,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Subject matter expert in data warehousing, data modeling, big data, cloud infrastructure, and business intelligence tools. Required Skills & Required Experience Required Skills & Required Experience:Design and implement cloud data solutions on Microsoft Azure, migrating on-premises data to cloud data warehouses like Azure Synapse Analytics, and Azure Databricks.
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Bachelor’s degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. Big Data, ETL, SQL Reports.
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GCP Vertex, GCP Cloud and Big Query. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies such as Apache Spark is a plus. The ideal candidate will have a strong background in data engineering and be proficient in using Logstash and Databricks for data processing and analytics.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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Big data solutions for data lake implementations (Elasticsearch) Experience working with DevOps CI/CD related technologies (Azure DevOps, Git, Jenkins, Puppet, Docker, Confluence, Sonar Lint, and Junit.
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Working with Architecture team for design and implementation of Big & Fast Data Infrastructure on AWS cloud using Kafka, Glue, Athena, Redshift, DynamoDB. AWS Big data service (EMR, ECS.
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Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive, predictive analytics and modeling Leverage a broad set of modern technologies – including Python, R, Scala, and Spark – to analyze and gain insights within large data sets Manage, architect, and analyze big data in order to build data driven insights and high impact data models Evaluate model design and performance and perform champion/challenger development.
$112,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Data Scientist, you'll lead projects that develop and perform complex analyses using Big Data technologies. Experiences in designing, developing, optimizing, and troubleshooting complex data analytic pipelines and ML model applications using big data related technologies such as Spark or Hive.
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big data jobs in Herndon, VA
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