Java developer with Hadoop

Job Description:

Job Title: Java Developer with Hadoop

Job Location: Charlotte, NC (Onsite)

Total Years of experience needed: 10+ (Mandatory)

Must Have Technical/Functional Skills: Primary Skill: Spring boot, Core java, Hadoop, pyspark, HiveSecondary: 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 Experience (Good to Have / Secondary Skill)Candidate should possess working knowledge of:• 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• Exposure to Spark is a plusNote: Hadoop is a secondary skill. Candidates are not expected to perform deep Hadoop administration, cluster management, or advanced big-data engineering.Preferred Skills• Apache Spark• NoSQL Databases (Cassandra/MongoDB)• Splunk, Dynatrace• AWS, Azure, or Google Cloud Platform• Domain experience in Banking/Financial Services• DevSecOps practices