Java Developer With Hadoop

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