{"schemaVersion":"jobsearcher.job.v1","id":"0bfa15873375b3729f4b7d64","url":"https://jobsearcher.com/jobs/0bfa15873375b3729f4b7d64","canonicalUrl":"https://jobsearcher.com/jobs/0bfa15873375b3729f4b7d64","title":"Java Tech lead","description":"ROLE: Java Tech leadLocation: Phoenix, Raleigh, RemoteDuration: 6 monthsExperience requested: 8 to 10 YrsDescription: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 processesAirflow 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","company":"AceStack","rawCompany":"acestack","city":"Denver","state":"CO","isRemote":false,"isActive":true,"createdAt":"2026-09-11T12:39:58.337Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Java Tech lead","description":"ROLE: Java Tech leadLocation: Phoenix, Raleigh, RemoteDuration: 6 monthsExperience requested: 8 to 10 YrsDescription: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 processesAirflow 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","datePosted":"2026-09-11T12:39:58.337Z","dateModified":"2026-09-11T12:39:58.337Z","hiringOrganization":{"@type":"Organization","name":"AceStack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0bfa15873375b3729f4b7d64"},"url":"https://jobsearcher.com/jobs/0bfa15873375b3729f4b7d64"}}