Java Developer with Hadoop
Role:
Java Developer with Hadoop Location: Charlotte, NC / Dallas TXMust Have Technical/Functional Skills Primary Skill: Spring boot, Core java, Hadoop, pyspark, HiveWe 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 plus
Note:
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 GCP
- Domain experience in Banking/Financial Services
- DevSecOps practices