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Data indexing, search, and analytics, i.e., Elasticsearch, Spark, Databricks, Delta Lake. Data exchange, message queuing, data streaming, and ETL processes, i.e., ActiveMQ, Kafka, JMS, Nifi.
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Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search and query performance tuning, RBAC security governance and administration; Design and configuration of ETL data pipelines using Elastic Common Schema to onboard application logs and metrics; Configuration of index templates and data life cycle management ILM for data retention.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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ETL developer with Elasticsearch/Apache Spark/Scala experience. 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.
Full-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with search architecture and data visualization tools (ex - ElasticSearch, OmniSci) Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.
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Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN etc. Hands on Scripting & Programming in Python, Ansible, bash, data parsing (regex) etc.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Work with Lucene based search engines, with a preference for Elasticsearch. Experience with data transport tools and messaging busses. Work with teams to build data catalogs and track lineage.
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Assist data engineers with data modeling and ETL processes to make raw data usable within the ecosystem of our search application. This position will focus on development for advanced search and data analytics to enable users of our cloud-based application.
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Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano. · Troubleshoot complex problems and provide customer support for the ETL process. · 2 or more years of related software engineering and ETL experience.
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Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.
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Full text indexing and searching technologies such as Lucene and ElasticSearch, tuning indexing and searching for search relevancy and accuracy; using data mining and machine learning tools and algorithms.
$72,000 - $90,000 a yearExpandUpdated 12 days ago - UpvoteDownvoteShare Job
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As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of large-scale (terabytes) database development, large-scale file manipulation, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Guides the technical direction for the design and supports development of dimensional data models, ETL, BI Metadata, BI dashboards and reports, and visualization. May recommend architecture for developing enterprise DW incorporating approaches for data sharing, data mart integration, data flow, ETL, and reporting and analytics.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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Search and NLP : Hands-on experience with search engines like ElasticSearch and NLP tools like Langchain desired. Data Engineering : In-depth expertise in designing and maintaining data pipelines, ETL processes, and complex query performance tuning in database systems like SQL, NoSQL, and particularly PostgreSQL.
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Securing, maintenance, optimization, documentation, and some design and build, Data Analytics & Visualization; Experience with application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships etc.
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