Job Location: Preferable Bangalore or other locations

Need By: Immediate

Required Qualifications & Skills: 

Mandatory: Java, Spring boot, Hadoop, SQL

1. Technical Expertise: 

Backend: Java (6+), Spring Boot, Microservices, REST APIs, Kafka, PostgreSQL, Hive. 

CI/CD & DevOps: Jenkins, ArgoCD, Helm, Kubernetes, Docker, Terraform (preferred). 

Cloud Platforms: Azure, GCP (certifications are a plus). 

Big Data: Hadoop, Hive, Spark, NiFi (a strong plus). 

Agile Tools: Jira, Confluence, Git. 

2. Experience: 

2-4 years of hands-on software development experience in enterprise applications. 

Proven track record as a technical lead or technical anchor delivering complex projects. 

Strong debugging, problem-solving, and performance-tuning skills. 

3. Soft Skills: 

Excellent communication skills for cross-functional collaboration. 

Ability to think critically and provide innovative solutions to technical challenges. 

Job Description

Hands-on Technical Expertise & Problem-Solving 

·       Provide deep technical expertise in backend (Java, Spring Boot, Hadoop, Kafka, PostgreSQL, Hive) 

·       Collaborate with architects and senior engineers to define and implement scalable architectures. 

Software Development & System Design 

·       Design efficient database schemas and optimize queries for PostgreSQL and Hive. 

·       Develop real-time data streaming solutions using Kafka and integrate them into enterprise applications. 

·       Implement distributed computing solutions for handling large-scale data processing (Spark/NiFi preferred). 

DevOps, CI/CD, and Cloud Deployment 

·       Design and maintain robust CI/CD pipelines using Jenkins, ArgoCD, and Helm to streamline build, test, and deployment workflows. 

·       Automate infrastructure provisioning and deployments across Azure and GCP cloud platforms. 

·       Implement monitoring, logging, and alerting solutions to ensure system reliability. 

Performance Optimization & Scalability 

·       Conduct code reviews, performance tuning, and debugging to ensure optimal system efficiency. 

·       Identify and resolve bottlenecks in databases, APIs, and frontend components to meet performance SLAs. 

Big Data Engineering & Analytics 

·       Develop data pipelines and batch/real-time processing solutions leveraging Hadoop, Kafka, Hive, Spark, and NiFi. 

·       Optimize data ingestion, transformation, and query performance to handle large-scale data workloads efficiently. 

Agile Execution & Technical Excellence 

·       Work in an Agile environment, actively participating in sprint planning, stand-ups, and retrospectives. 

·       Ensure projects are delivered on time with high-quality standards, following industry best practices. 

Technical Documentation & Best Practices 

·       Maintain high-quality technical documentation, including architectural decisions, best practices, and coding standards. 

·       Advocate for clean code, design patterns, and modern software engineering principles.