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Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, Jupyter Notebook etc. Spark/Scala experience - Will need to develop in these or impala and hive to pull data, working with SPARK Structured steaming.
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Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora. Java (must), Python, Scala. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR.
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Demonstrated hands-on experience developing Applications using the following technologies or something similar: SOLR, Elastic, Postgres, Java, Scala, RDS or spring boot. The Sponsor requires project management and technical support to manage projects and to perform software development activities within budget in the areas of enabling search against structured and unstructured data sets, coordinating and collaborating on documents across the organization, leveraging machine language to discover content that would otherwise be missed via Boolean, and incorporating artificial intelligence to do predictive analysis and make recommendations based on historical data.
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Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc. Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few.
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Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. The customer's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, is seeking a Database Developer that is part of an integrated team to create, update, and maintain a federated search and discovery software system to integrate data related to financial information from a variety of data providers within a cloud environment.
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Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza. Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing.
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Job Summary The Sponsor's office provides knowledge management and data services to enable search and discovery, as well as improve collaboration across the organization. SOLR experience a big plus.
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And experience with data formats like json, csv, xml. Designing and coding hadoop applications to analyze data collections. Experience working with Hadoop/Big Data and Distributed Systems.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of at least one search engine (Elasticsearch, Solr, Vespa. Iterate and optimize for our improving platform KPIs (Key Performance Indicators), driving reliability, stability, low latency, and cost efficiency across search API & indexing systems, ML infrastructure, and search data platforms.
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Spark streaming, Kafka, Apache Storm, Flink NoSQL. HBase, Cassandra, MongoDB. Job Requirements Qualifications.
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Role: Big Data Engineer. We invite you to join as a Big Data Developer/Engineer. Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines. Data ingestion experience from message queue, file share, REST API, relational database, etc.
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Python, Scala)MS or BS in computer science, mathematics, physics or other quantitative fieldsPreferred QualificationsExperience with distributed analytic processing technologies (e.g. Hadoop, Hive, MapReduce, Spark, Solr/Elasticsearch)Experience with cloud based architecture (e.g. Amazon Web Services)Strong interest in news media and our mission.
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Search engine technology such as Solr, ElasticSearchHands on Experience in Handling Spark and Kafka Cluster managementExperience as software engineer lead or architect directly supporting Government technical stakeholdersDESIRED QUALIFICATIONSExperiencing interacting with AWS SDK, AWS API, AWS CLI, and AWS CloudFormationExperience with public clouds such as AWS and AzureExperience with cloud micro-servicesWorking on Big Data infrastructure for batch processing as well as real-time processing.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Familiarity with other search technologies and frameworks such as Solr, Lucene, or Apache Kafka. Joining our team as a Data Scientist specializing in Elasticsearch optimization offers a unique opportunity to work with leading-edge technologies and collaborate with clients to drive tangible improvements in search performance and accuracy.
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