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Java developer with Hadoop with Hive

$110k - $120k
Full-time

SFE

Section

Details

Job Title

Java Developer with Hadoop

Job Type

Fulltime

Client Location

Charlotte, NC / Dallas, TX / Newark, DE

Work Arrangement

100 % Onsite for 5 days every week

Pay Rate / Salary

$110k - $120k in a year + Fulltime benefits

Job Summary

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

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

Preferred Skills

Apache Spark

NoSQL Databases (Cassandra/MongoDB)

Splunk, Dynatrace

AWS, Azure, or GCP

Domain experience in Banking/Financial Services

DevSecOps practices

Vacancy posted 1 day ago
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