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Java Tech lead ( Nifi, Airflow)
Java Tech lead ( Nifi, Airflow)Purple Drive • Phoenix, AZ,Raleigh, NC, Arizona, USA
Java Tech lead ( Nifi, Airflow)

Java Tech lead ( Nifi, Airflow)

Purple Drive • Phoenix, AZ,Raleigh, NC, Arizona, USA
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  • [job_card.full_time]
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ROLE : Java Tech lead ( Nifi, Airflow)

Description :

  • Strong NiFi Expertise : Deep understanding of Apache 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 : Kafka ( Event driven & streaming architecture)
  • Apachae Airflow - Workflow orchestration"
  • Design and Implementation :

o Creating and implementing data flow solutions using NiFi, including defining data sources, destinations, and transformation processes.

  • Ingestion and Transformation :
  • o Managing data ingestion from various sources (e.g., files, databases, APIs) and transforming data into desired formats for downstream consumption.

  • Routing and Enrichment :
  • o Configuring NiFi to route data to appropriate destinations and enriching data with additional information (e.g., timestamps, location).

  • Scalability and Performance :
  • o Ensuring data flows are scalable and performant to handle varying data volumes and velocity.

  • NiFi Cluster Management :
  • o Maintaining and improving NiFi clusters, including configuration, optimization, and troubleshooting.

  • Microservices Integration :
  • o Developing and integrating microservices to support data conditioning, format validation, and transformation processes.

  • Troubleshooting and Issue Resolution :
  • o Identifying and resolving issues related to data flows, NiFi configurations, and data integration processes

  • Airflow Expertise :
  • o Possessing deep knowledge of Airflow's architecture, including schedulers, executors (Celery, Kubernetes), and plugin development.

  • Workflow Design and Development :
  • o Designing and developing complex, modular, and reusable DAGs (Directed Acyclic Graphs) to automate data pipelines.

  • Performance Optimization :
  • o Identifying and addressing performance bottlenecks in Airflow environments and implementing best practices for orchestration and scheduling

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    Tech Lead • Phoenix, AZ,Raleigh, NC, Arizona, USA

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