Reflexive Concepts is seeking a skilled Application Engineer IV to join our team!Qualifications:
Eight (8) years of experience supporting projects and programs similar in scope and complexity
Bachelors Degree in Computer Science or a related field
Duties and Responsibilities:
Integrate data with tools such as Amazon S3, MongoDB, Apache Spark, and Elasticsearch, ensuring seamless data movement and processing.
Optimize NiFi cluster architecture, performance tuning, and strategize data pipelines.
Design, implement, and troubleshoot dataflows using Apache NiFi, including working with processors, connections, and templates.
Deploy and managing NiFi in cloud environments (e.g., AWS, Azure, GCP) and using cloud-native tools for data processing.
Facilitate infrastructure management, continuous integration, environment configuration and deployment as well as supporting the project's compliance and security posture.
Focus on delivering the automation that enables all the other teams to operate smoothly.
Experience tracking work through JIRA workflows.
Required:
Linux system administration (Centos7, RedHat8)
Experience with administering a NiFi cluster
Experience with Docker
Experience with Terraform code
Configuring, deploying and administrating NiFi and associated NiFi flows
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.