Job Role: Java NiFi Engineer
Location: Raleigh, NC/Remote
Job Description:
Must Have Technical/Functional Skills
Technical Skills:
Strong NiFi Expertise: Deep understanding of NiFi architecture, processors, controllers, and data flow management capabilities.
Programming Languages: Proficiency in Java, Spring boot & API Microservices.
Database and SQL: Familiarity with databases, SQL, and data manipulation techniques.
Big Data Technologies: Knowledge of big data technologies like Kafka (Event driven & streaming architecture)
Airflow Workflow orchestration
Responsibilities:
Design and Implementation:
Creating and implementing data flow solutions using NiFi, including defining data sources, destinations, and transformation processes.
Ingestion and Transformation:
Managing data ingestion from various sources (e.g., files, databases, APIs) and transforming data into desired formats for downstream consumption.
Routing and Enrichment:
Configuring NiFi to route data to appropriate destinations and enriching data with additional information (e.g., timestamps, location).
Scalability and Performance:
Ensuring data flows are scalable and performant to handle varying data volumes and velocity.
NiFi Cluster Management:
Maintaining and improving NiFi clusters, including configuration, optimization, and troubleshooting.
Microservices Integration:
Developing and integrating microservices to support data conditioning, format validation, and transformation processes.
Troubleshooting and Issue Resolution:
Identifying and resolving issues related to data flows, NiFi configurations, and data integration processes
Airflow Expertise:
Possessing deep knowledge of Airflow's architecture, including schedulers, executors (Celery, Kubernetes), and plugin development.
Workflow Design and Development:
Designing and developing complex, modular, and reusable DAGs (Directed Acyclic Graphs) to automate data pipelines.
Performance Optimization:
Identifying and addressing performance bottlenecks in Airflow environments and implementing best practices for orchestration and scheduling
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