Java developer with Hadoop

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.

• 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

• 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.

• 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 Google Cloud Platform

• Domain experience in Banking/Financial Services

• DevSecOps practices