Job : Java Developer with Hadoop
Location : Charlotte, NC (Onsite)
Fulltime Only
Job Description
Java Developer with Hadoop
Must Have Technical/Functional Skills
Primary Skill: Spring boot, Core java, Hadoop, pyspark, 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 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
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