Java Developer with Hadoop

K&K Talents; Charlotte (NC); On-site; USD 110,000 - 160,000; Full time

Job summary

K&K Talents is seeking a Java Developer with Hadoop experience to design, develop, and maintain scalable enterprise applications. You will build microservices, RESTful APIs, and data-integrated solutions while collaborating with cross-functional teams to ensure high-quality delivery.

Candidates should have strong Java/Spring Boot skills, experience with OpenShift, Docker, Kubernetes, and CI/CD pipelines, and familiarity with Hadoop ecosystems. Banking/FS domain experience is a plus.

Qualifications

• 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 ecosystem knowledge (HDFS, YARN, Hive) and Spark exposure.
• Preferred: Banking/Financial Services domain experience.

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.
• Support data processing and integration workflows involving Hadoop-based platforms.

Skills

Java

Spring Boot

Microservices

REST APIs

Kafka

OpenShift

Docker

Kubernetes

Git

Maven

CI/CD pipelines

Oracle

SQL Server

Secure coding practices

Tools

OpenShift

Docker

Kubernetes

Jenkins

GitLab

Oracle

SQL Server

Job description

Interview Process

Video call Interview(Two Round)

Job Description

Java Developer with Hadoop

Must Have Technical/Functional Skills

Primary Skill: Spring boot, Core java, Hadoop, pyspark, Hive

Secondary

Kafka

Must Have Skills

• 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.
• 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

• Domain experience in Banking/Financial Services