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 • DevSecOps practices Salary Range- $110,000-$125,000 a year </div

Requirements

Must-haves

Java Developer with Hadoop
Must Have Technical/Functional Skills
Primary Skill: Spring boot, Core java, Hadoop, pyspark, Hive
Secondary: Kafka
Must Have Skills
Java 10+/11+/17+
Microservices Architecture
RESTful Web Services
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.

Nice-to-haves

Exposure to Spark is a plus
Apache Spark
NoSQL Databases (Cassandra/MongoDB)
Splunk, Dynatrace
AWS, Azure, or GCP
Domain experience in Banking/Financial Services
DevSecOps practices

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javarestkubernetessqlci/cdagilescrumdockerawsazuregcp

Platform: careers-page
Effort: medium