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Tomcat, Resin, Jira, CircleCI, GitHub, BitBucket, Serverless, Microservices, GeoServer, GeoTools, QGIS, AWS, Lambda, EC2, OpenSearch, ECS, Fargate, Elastic MapReduce, Docker, S3, SQS, Elastic Beanstalk, CloudWatch, DMS, RDS, Aurora, CloudFront, Glue, ElastiCache, Redis, Memcache, MapReduce, Hadoop, Spark, Solr, Pig Latin, Cassandra, Apache Mahout, ETL, Amazon Textract.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC.
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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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Any experience in these areas: AWS (Amazon Web Services), Docker/Kubernetes, Document-Oriented Data Stores (i.e. Elasticsearch, Solr), Geospatial Information Systems (GIS) and OGC WMS/WFS, Javascript, HTML5, CSS, and RESTful APIs, Git.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, ETL (ex. This role will focus on leading the migration and set up of the Enterprise Data Platform on Cloud using a combination of Cloudera CDP public cloud and other AWS services.
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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. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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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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General Superintendent – Data Center Construction – Ashburn, VA. This opportunity is with a leading general contractor of data center construction services. Experience working on Data Center Construction Projects with Budgets ranging from $5mm to $500MM.
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Experience with Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Experience with distributed search engines like Elasticsearch or Solr. Senior Cloud Engineer will: 1) support the development of enterprise applications; 2) design and implement micro-services architectures; 3) oversee, work with, and assist other Big Data Engineers; and 3) develop performance dashboards and artifacts to inform resource allocation, justify requirements, and support statutory reporting mandates.
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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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Experience with multiple database technologies including RDBMS, Elasticsearch and/or SOLR, NoSQL (Hadoop and/or EMR) Praescient Analytics is seeking a Senior Software Engineer to join our team to support our intelligence customer in Herndon, VA. This individual will design and develop user interfaces and visualizations that support capabilities such as data discovery and query, analytic visualizations, link-node analysis, AI/ML big data analytics, and object production and relationships.
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Lead and perform development and maintenance of end-user focused, object-oriented, data-driven analytic applications using DevOps and Agile development principles and technologies to support CBP threat analysis and targeting.
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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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Data Analysis Visualization: Tableau Desktop, Looker Studio. Big Data Processing: Hive, HBase, Spark. Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena) Data Analysis Visualization: Tableau Desktop, Looker Studio.
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