Job Description

Job Tittle: Java Full Stack developer

Location: Bangalore

Mode of Work: Onsite (5 Days WFO)

Notice Period: Immediate Joiners only

Domain: Retail/Finance/ OMS

Requirement #

Responsibilities:

Develop and maintain high-quality, efficient, and scalable backend applications.

Participate in all phases of the software development lifecycle (SDLC)

Write clean, well-documented, and testable code adhering to best practices.

Collaborate with team members to ensure the successful delivery of projects.

Debug and troubleshoot complex technical problems.

Identify and implement performance optimizations.

Participate in code reviews

Required React developer requirements, qualifications & skills:

Proficiency in React.js and its core principles

Strong JavaScript, HTML5, and CSS3 skills

Experience with popular React.js workflows (such as Redux)

Hands-on experience with Springboot, Java 8 and above.

5-8 years of experience developing Java applications.

Knowledge about at least one messaging system like Kafka, RabbitMQ etc.

Strong understanding of object-oriented programming (OOP) principles.

Experience with design patterns and best practices for Java development.

Proficient in unit testing frameworks (e.g., JUnit).

Experience with build automation tools (e.g., Maven, Gradle).

Experience with version control systems (e.g., Git).

Experience with one of these databases – Postgres, MongoDb, Cassandra

Knowledge on Retail or Finance or OMS is a plus.

Experienced in containerized deployments using Docker, Kubernetes and DevOps mindset

Ability to reverse engineer existing/legacy and document findings on confluence.

Create automated tests for unit, integration, regression, performance, and functional testing, to meet established expectations and acceptance criteria.

Document APIs using Lowe's established tooling.

About Zettamine:

Zettamine is a Big Data consulting and system integration firm focused on delivering outcome-driven analytical solutions. We combine domain expertise with cutting-edge technologies to help businesses enhance efficiency and competitiveness through data-driven decision-making. Our team brings deep experience across Financial Services, Retail, and Manufacturing, with technical strengths in Open Source BI (Pentaho, Talend), Big Data (Hadoop, Hive, Pig), NoSQL (MongoDB, Neo4j), and advanced analytics (Machine Learning, R).
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