What are the responsibilities and job description for the Application Engineer IV position at Reflexive Concepts?
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
- 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.
- 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.
- Cloud hosting and automation
- Experience working in Agile environment