Java Developer with Hadoop (Fulltime - Charlotte, NC)

K&K Global Talent Solutions Inc.

  • Charlotte, NC
  • 10 days ago

    Highlights

    Must Have Skills Java 10+/11+/17+ Spring Boot Microservices Architecture RESTful Web Services Kafka OpenShift / Kubernetes Oracle SQL / PL-SQL JUnit, Mockito Git, Maven, CI/CD Basic to Intermediate Hadoop ecosystem experience Roles & Responsibilities Design, develop, and maintain enterprise applications using Java and Spring Boot. Hadoop ecosystem concepts (HDFS, YARN, Hive) Basic Hive query development and troubleshooting Understanding of data ingestion and batch processing workflows Experience working with Hadoop-based data platforms in support of application development

    Numbers & Facts

    LocationCharlotte, NC

    Description

    Job Title - Java Developer with Hadoop
    Experience Required - 8+ years
    Location - Charlotte, NC
    Hire Type - Fulltime (Onsite)

    Must Have Technical/Functional Skills

    Primary Skill: Spring boot, Core java, Hadoop, PySpark/ Spark, Hive
    Secondary: Kafka
    We are seeking a Java Developer with strong expertise in Java 10+ and modern backend application development. The ideal candidate should have hands-on experience in building scalable microservices, REST APIs, and cloud-native applications. Exposure to Hadoop ecosystem technologies is required to support data-intensive applications and integrations, though this is not a core Hadoop development role.
    Must Have Skills
    Java 10+/11+/17+
    Spring Boot
    Microservices Architecture
    RESTful Web Services
    Kafka
    OpenShift / Kubernetes
    Oracle SQL / PL-SQL
    JUnit, Mockito
    Git, Maven, CI/CD
    Basic to Intermediate Hadoop ecosystem experience
    Roles & Responsibilities
    Design, develop, and maintain enterprise applications using Java and Spring Boot.
    Develop scalable Microservices and REST APIs.
    Integrate applications with distributed data platforms and messaging systems.
    Collaborate with cross-functional teams to deliver high-quality solutions.
    Participate in code reviews, testing, deployment, and production support.
    Optimize application performance and scalability.
    Work in Agile/Scrum development environments.
    Support data processing and integration workflows involving Hadoop-based platforms.
    Required Technical Skills
    Strong hands-on experience with Java, Spring Boot, and Microservices.
    Experience developing RESTful APIs and backend services.
    Knowledge of Kafka and event-driven architecture.
    Experience with OpenShift, Docker, or Kubernetes.
    Good understanding of relational databases such as Oracle or SQL Server.
    Familiarity with CI/CD pipelines using Jenkins, GitLab, or similar tools.
    Understanding of software design patterns and secure coding practices.
    Hadoop ecosystem concepts (HDFS, YARN, Hive)
    Basic Hive query development and troubleshooting
    Understanding of data ingestion and batch processing workflows
    Experience working with Hadoop-based data platforms in support of application development

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