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Enterprise Search Application development (Elastic, Solr), including data mappings and data pipeline management. The Software Engineer will develop and deliver new capabilities, support existing infrastructure and applications, and add new data sources to secure mission systems.
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Analytics and search engines (Elasticsearch, Splunk, Apache Solr) Communicate with technical leadership, ADT leads, and release train engineer impacts to the ADTs to fast track critical and high priority efforts.
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At least 2 years of experience with distributed database systems (Cassandra, ElasticSearch, or Kafka) Strong understanding of distributed stateful applications (Cassandra, Elasticsearch, Kafka.
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Experience with Hadoop-based technologies (Cloudera, Hortonworks, MapReduce, Hive, HDFS) and NoSQL technologies (e.g., MongoDB, Cassandra) Bid Data Engineer (LCDS) Lead initiatives utilizing big data solutions to provide actionable insights for addressing strategic and tactical mission objectives.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, ETL (ex. Experience with Cloudera CDP on-prem and public cloud; Solr SME. Expert. This is a Big Data Administrator Lead position and not a developer position.
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This is a Cloudera Big Data administrator position and not a developer position. Position Title: Cloudera Big Data administrator. Experience with building Cloudera cluster, setting up Nifi, Solr, HBase, Kafka.
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If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
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Installing, configuring, maintaining, and troubleshooting Docker, Kubernetes, Microservices Architecture, Solr, OpenSearch, Hadoop, Spark, Databricks, Airflow, NiFi. degree required, preferably in Data Science, Mathematics, Engineering, Physics, Statistics, or Computer Science required.
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Configure and manage Cloudera Data Science Workbench using Cloudera Manager. Nifi to kafka /Hbase /solr integration. Design and implement big data pipelines and automated data flows using Python/R and NiFi.
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Required Technical Skills: Java w/ Spring Boot, TypeScript w/ React+Redux, Hbase, Solr, JanusGraph, NiFi, Postgres / PostgreSQL, Ansible, Linux (RHEL) experience and skills, Python, Multithreading.
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Work with Hbase, Solr, and JanusGraph for data storage, search, and graph processing. Experience with Hbase, Solr, and JanusGraph for data storage and processing. This role requires strong technical skills in Java with Spring Boot, TypeScript with React+Redux, Hbase, Solr, JanusGraph, NiFi, Postgres/PostgreSQL, Ansible, Linux (RHEL), Python, and multithreading.
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Troubleshooting the applications and services contained within the portfolio - to include but not limited to: Python, SQL, SOLR, SQL, Java, Amazon Web Services (AWS), and Angular Technologies. Demonstrated experience with Python, SQL, SOLR, SQL, Java, Amazon Web Services (AWS) (e.g., EC2) and Angular technologies.
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Experience with SAP S/4 HANA - Data Modeling using HANA Studio, ABAP Development Tools (ADT), Code Performance Rules and Guidelines for SAP HANA, AMDP, code push down techniques, CDS views, Business Object Processing Framework (BOPF) and backend OData services, Native SQL, ABAP Core data Services, Data Base Procedures, Text Search, ALV on HANA and HANA Live models consumption.
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Serve as a Subject Matter Expert (SME) on development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards.
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Bachelor's degree in computer science, geography or related field which included coursework in Oracle and/or another complex database platform; plus two years of experience in working with and developing systems utilizing GIS platforms such as ESRI’s ArcGIS Desktop or Server software suites; or performing GIS modeling (e.g., relationship classes, topologies, 3-D, object, data) and spatial analysis (e.g., proximity analysis, image analysis, routing analysis.
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