Java & Hadoop Sr.Developer

Aarorn Technologies Inc; Toronto; On-site; CAD 61,992 - 68,880; Part time

Job summary

Aarorn Technologies Inc is seeking a Java & Hadoop Developer based in Toronto, ON. The role requires 6 to 8+ years of experience in Java and Hadoop. Candidates must have strong expertise in Spring Boot, REST API development, and a solid understanding of microservices architecture.

This position is a contract role with a pay rate of CAD$45 - $50 per hour. Onsite work is mandatory four times a week. The company offers opportunities to work with cutting-edge technologies in a collaborative environment.

Qualifications

• 6 to 8+ years of experience in relevant technologies.
• Hands-on expertise in Java and Hadoop environments.
• Proficient in microservices design and development.

Responsibilities

• Develop and optimize Big Data applications using Java and Scala.
• Implement CI/CD pipelines and DevOps practices.
• Monitor and troubleshoot microservices performance.

Skills

Spring Boot

Java

REST API development

Kafka

Docker

Kubernetes

Hadoop

SQL

Python

Shell Scripting

Apache Spark

GitHub

Terraform

Job description

Job Title: Java & Hadoop Developer

Location: Toronto, ON (4x onsite a week)

Employment Type: Contract

Pay Rate: CAD$45 - $50/HR INC

Interview Type: Face 2 Face (Onsite Interview Only)

Job Description

• 6 to 8+ Years Experience
• Hands‑on expertise in Spring Boot, Java, REST API development, and Kafka‑based event‑driven architectures.
• Strong understanding of microservices lifecycle: design, development, containerization (Docker), orchestration (Kubernetes), and deployment in cloud environments (AWS, Azure, GCP).
• Experience in developing and optimizing Big Data applications using Java & Scala, Hadoop, Hive technologies.
• Minimum 2+ years coding Scala programming.
• Experience in Python, Scala, Shell Scripting, Apache Spark and Hive.
• Proficient in database integration with SQL Server, Oracle, MySQL, and with strong SQL query optimization skills.
• Well‑versed with DevOps tools and practices, including CI/CD pipelines using Jenkins, Terraform, GitHub, Docker, and Kubernetes.
• Skilled in monitoring, troubleshooting, and optimizing microservices using Splunk, CloudWatch, and log‑based analysis.
• Experience in Spring Boot with multiple microservices, enabling inter‑service communication using Kafka (asynchronous messaging) and HTTP/REST APIs. Familiar with gRPC as a generic protocol, though not implemented in production.

Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.