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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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We are a leader in providing software engineering, big data analytics and visualization, artificial intelligence and machine learning solutions, DevSecOps, data center operations support, and cloud migration for our law enforcement and national security customers.
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M.S in Computer Science or relatedExperience with AI/MLExperience with Kubernetes (Rancher RKE2, AWS EKS) and microservice architecturesExperience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMRExperience with NIST Risk Management Framework and security accreditation process and tasks.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are looking for a Data Center Construction Project Manager to support critical facility construction projects - Greenfield and Brownfield. Data Center Construction Project Manager - Core and Shell Expert - Ashburn, VA.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with Big Data Architectures, Batch Processing, and Lambda Architectures. Experience with Azure/AWS cloud technologies with data transformation via DataBricks or dbt. Expertise working with ETL tools such as SSIS, Azure Data Factory, or dbt.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in utilizing Google Cloud Platform Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring.
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Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. Azure ML, Database Platforms, Big Data, Data Lake, Azure Databricks, Azure Synapse, etc.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc. Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.
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We are currently seeking a Data Scientist- SME to join our team. Demonstrated experience with geo-spatial software and programming packages and data formats. Validate collected data to ensure it meets data format requirements.
$230,000 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Analyze big data to discover trends and patterns. Use data visualization techniques to present information. Translate business requirements into specifications that will be used to drive data store/data warehouse/data mart design and configuration.
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Minimum Qualifications Mandatory Security Clearance Requirement: TS/SCI w/CI Poly BS or higher degree in Engineering, Science, Imagery Analysis, or related STEM degree Senior-level experience (12+ years) with SAR and GEOINT data.
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The program delivers Engineering, Operations, Cybersecurity, and Service Management in support of a) Windows 10 and Windows 11 platforms managed using Microsoft Endpoint Management solutions, Microsoft Endpoint Configuration Manager (MECM) and Microsoft Intune in a hybrid joined Azure and on premises co-managed Active Directory; and b) MacOS environment (MacOS Monterey, Big Sur, Catalina) using the Casper Administration Management (CAM) and JAMF mobile device management system.
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Must have: 6 years of experience in data engineering Experience with Extract, Transform and Load (ETL) tools and processes Experience with Python Bash / shell scripting Linux Familiarity with different data types & formats, including text, audio, imagery, video, binary and geopspatial.
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big data jobs Title: data administrator in Herndon, VA
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