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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. Fidelity Investments – Senior Data Scientist – AI, Machine Learning, Big Data.
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Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop. Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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 machine learning/big data at scale (GPU, Docker and Kubernetes) Specific Skillset We're looking to augment our existing team with someone who has deep experience in managing a large Elasticsearch cluster indexing machine learning vectors that power many features in our product including dataset search.
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Experience with API-services, COTS integration, Big Data, and search technologies, including Hadoop, Spark, Solr, Zookeeper, and ElasticSearch. Experience with API-services, COTS integration, Big Data, and search technologies, including Hadoop, Spark, Solr, Zookeeper, and ElasticSearch.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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We're looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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In-depth understanding and experience in two or more of the following: complex e-commerce applications, massive real-time event and message processing, data lakes, Big Data transformations and analytics, IoT edge and cloud data processing, SQL and NoSQL data modeling Strong understanding of Agile SDLC implementation in public cloud eco-system including environments management, test automation, peer review, CI/CD, resource optimization, etc.
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Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Solutions Big Data : Hadoop Cloudera, DataIku, HDFS, Hive, Impala, Search : ElasticSearch, SolR. 💡Organisées en mode Agile, les 8 squads de la tribu DATA (6 squads Métier et 2 squads transverses) œuvrent au quotidien pour répondre à un enjeu majeur pour la banque : la collecte, le stockage, la gestion et l’usage de la donnée.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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You have strong experience with data storages, such as relational databases (PostgreSQL) and search engines (ElasticSearch); you have experience with Big Data technologies (Apache Spark, Apache Kafka.
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Prior experience or familiarity with our Big Data Platform is a plus. A current Secret level security clearance is a big plus. Experience with configuration management tools (e.g. Git, Nexus, Maven.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Previous experience with BDP (Big Data Platform) is a plus. Experience working with AWS Cloud at an architect level with the solution focused on data. Design, model and prototype current and future states of the data using AWS compatible solutions.
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Participate in big-data and search related development involving Hadoop, Pig, Sqoop, and Elasticsearch. Create relational data models in Oracle (DDL) and general data maintenance/analysis tasks.
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