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Hands on Scripting & Programming in Python, Ansible, bash, data parsing (regex) etc. Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN etc.
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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 10 days ago - UpvoteDownvoteShare Job
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Experience with search and reporting tools such as Apache Spark, Jasper, Pentaho or similar. The Data Scientist will support the United States Air Force with the development of a graph database in pursuit of counter-threat finance activities in downtown Tampa, FL.
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Apply data mining, data modeling, natural language processing and machine learning to extract and analyze information from large structured and unstructured datasets. The Data Scientist will support several diverse and critical functions, including the operation of a research and development lab on-site in downtown Tampa, FL. The client responds to the Department of Defense and Intelligence Community’s toughest problems by providing prototypes and methodologies for execution.
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At AssistRx, we are search for a full-time Integration Engineer with the relevant professional qualifications and experience to work with us to design and build our data warehousing and analytics capabilities.
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Extensive experience leading and performing complex data analysis using various data analytics tools (i.e., Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics.
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Prefer hands-on experience programming / scripting languages: Python, php, MATLAB. Experience working with large data sets and with distributed computing technologies such as MapReduce/Hadoop.
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ResponsibilitiesWe are in search of a skilled Data Scientist to join our Technology Team. The role involves developing Large Language Model (LLM) applications, including specialized agents and tools, to assist our employees and clients in answering questions and streamlining daily operations.
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Identify and analyze data shortfalls, hidden insights or anomalies and make recommendations on ways to apply the data and help to codify new data collection or system requirements.
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Extensive experience and knowledge of Splunk architecture, distributed components (indexer clusters, forwarders, search head clusters, deployment servers, dashboards etc). SPLUNK Core Certified Power UserExperience with infrastructure including but not limited to: data center operations, server hardware, operating systems (Windows, Linux), web servers, databases, virtualization (VMware), networking, storage, monitoring, etc.
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Design and configuration of ETL data pipelines using Elastic Common Schema to onboard application logs and metrics; Securing, maintenance, optimization, documentation, and some design and build, Data Analytics & Visualization.
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Experience with application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships etc. Strong Hands on experience Elastic Stack of tools(Elastic Search, Logstash & Kibana) that monitor and manage critical applications and infrastructure.
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