Application Engineer 4 (NiFi)

Avid Technology Professionals • Linthicum Heights, MD

6d

About The Position

This role focuses on configuring, deploying, and administering NiFi and associated NiFi flows. The ideal candidate will have a strong understanding of Apache NiFi, including its processors, connections, and templates, as well as expertise in NiFi Expression Language. The position involves integrating data with various tools and cloud environments, optimizing performance, and automating workflows through scripting.

Requirements

• Linux system administration (Centos7, RedHat8)
• Administering a NiFi cluster
• Docker
• 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.

Responsibilities

• Configuring, deploying and administrating NiFi and associated NiFi flows
• Designing, implementing, and troubleshooting dataflows using Apache NiFi
• Working with NiFi 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)
• Using cloud-native tools for data processing
• Extending NiFi capabilities and automating workflows using scripting languages like Python, Groovy, or Bash

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed