Senior Developer responsible for building data pipelines using modern engineering practices. Collaborates with teams to ensure accurate and trusted lending data for decision - making.
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Java BigData Developer
Posted via LinkedIn Recruiter (not a company profile)
Posted 13 hours ago
About the role
- Aarorn Technologies seeks a Java BigData Developer (6+ yrs) for a hybrid Toronto role. Must have Spring Boot, Java, REST API, Kafka, and Big Data skills.
Responsibilities
- We are hiring for a Java BigData Developer position. The role involves hands-on expertise in Spring Boot, Java, REST API development, and Kafka-based event-driven architectures. You will work on microservices lifecycle including design, development, containerization (Docker), orchestration (Kubernetes), and deployment in cloud environments (AWS, Azure, GCP). Additionally, you will develop and optimize Big Data applications using Java & Scala, Hadoop, Hive technologies, and integrate databases with SQL Server, Oracle, MySQL. You will also be involved in DevOps practices including CI/CD pipelines using Jenkins, Terraform, GitHub, Docker, and Kubernetes, and monitor microservices using Splunk, CloudWatch.
Requirements
- 6 to 8+ years of 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 3+ 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.
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