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Enterprise and Web Search concepts and Search Engines such as Apache Solr, LucidWorks Fusion, or Elastic Search; RDBMS like Oracle, MySQL or PostgreSQL, NoSQL DBs like MongoDB or Redis and data formats including XML and JSON.
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Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience in crafting and implementing data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure, GCP). Search tools: Solr, Lucene, Elasticsearch. Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP). AWS cloud services EC2, EMR, RDS, Redshift (or Azure equivalents) Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong experience with Linux Server platform Experience solving data engineering problems using technologies such as Spark, Solr. NoSQL database experience (MongoDB/Hadoop/Redis/DynamoDB/Elastic Search.
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AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc. Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C.
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Experience with major search vendors (e.g., ElasticSearch, Google, Solr / Lucene). Experience with the design, implementation, and maintenance of data pipelines including data storage, ingestion, transformation, and orchestration using scripting language (e.g. Python) or tool based (e.g. Databricks) solutions.
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Must have technologies: Java, Mongo DB, Elastic Search, Solr, Content/Document Management. General nice to have Docker and other CICD/DevOps, AWS or delivery frameworks. The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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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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Working within an Amazon Web Services (AWS) cloud environment and utilizing tools such as SMS, Data Pipeline, Relational Database (RDS), Cloudwatch, EC2, EBS, S3, KMS, or SMS. 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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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. Demonstrated hands-on experience developing Applications using the following technologies or something similar: SOLR, Elastic, Postgres, Java, Scala, RDS or spring boot.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with data intensive analytical solutions leverages relational (Redshift, Oracle), non-relational (Postgres, Aurora, Graph databases) and search-based data platforms (SOLR, Open Search.
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Spark streaming, Kafka, Apache Storm, Flink NoSQL. HBase, Cassandra, MongoDB. Java (must), Python, Scala. Job Requirements Qualifications.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Exposure to a variety of data stores and search technologies (e.g. MySQL, RDS, MongoDB, Familiarity with AWS, GCP and/or other cloud computing platforms. Opensearch, Apache Solr, and/or Algolia.
ExpandApply NowActive JobUpdated 10 days ago
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