Application Engineer 4

KeporaHerndon, VA

About The Position

This position requires U.S. Citizenship and an active TS/SCI security clearance with Full Scope Polygraph. Candidates who do not currently hold these credentials will not be considered.

Requirements

  • U.S. Citizenship and an active TS/SCI security clearance with Full Scope Polygraph
  • Linux system administration (Centos7, RedHat8)
  • Experience with administering a NiFi cluster
  • Experience with Docker
  • Experience with Terraform code
  • Proficiency in Apache NiFi: Hands-on experience designing, implementing, and troubleshooting dataflows using Apache NiFi, including working with processors, connections, and templates.
  • Expertise in NiFi Expression Language: Strong understanding of leveraging NiFi Expression Language to create dynamic and efficient dataflows.
  • Data Integration and Big Data Tools: Experience integrating data with tools such as Amazon S3, MongoDB, Apache Spark, and Elasticsearch, ensuring seamless data movement and processing.
  • Performance Optimization: Knowledge of NiFi cluster architecture, performance tuning, and strategies for optimizing high-throughput data pipelines.
  • Cloud Integration: Expertise in deploying and managing NiFi in cloud environments (e.g., AWS, Azure, GCP) and using cloud-native tools for data processing.
  • Scripting and Automation: Proficiency in scripting languages like Python, Groovy, or Bash to extend NiFi capabilities and automate workflows.

Nice To Haves

  • Cloud hosting and automation
  • Experience working in Agile environment

Responsibilities

  • Configuring, deploying and administrating NiFi and associated NiFi flows
  • Designing, implementing, and troubleshooting dataflows using Apache NiFi, including working with processors, connections, and templates.
  • Leveraging NiFi Expression Language to create dynamic and efficient dataflows.
  • Integrating data with tools such as Amazon S3, MongoDB, Apache Spark, and Elasticsearch, ensuring seamless data movement and processing.
  • Optimizing NiFi cluster architecture, performance tuning, and strategies for optimizing high-throughput data pipelines.
  • Deploying and managing NiFi in cloud environments (e.g., AWS, Azure, GCP) and using cloud-native tools for data processing.
  • Extending NiFi capabilities and automating workflows using scripting languages like Python, Groovy, or Bash.
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