Description

What's the Job?

• Design, develop, and optimize Big Data applications using Java, Scala, Hadoop, Hive, and Spark technologies.
• Implement and maintain microservices architecture with Spring Boot, REST APIs, Kafka, and containerization tools like Docker and Kubernetes.
• Collaborate with cross-functional teams to deliver scalable and reliable data solutions in cloud environments such as AWS, Azure, or GCP.
• Monitor, troubleshoot, and enhance microservices and data pipelines using tools like Splunk and CloudWatch.
• Participate in code reviews, testing, and deployment processes to ensure high-quality deliverables.

What's Needed?

• 6 to 8+ years of hands-on experience in Java, Spring Boot, REST API development, and Kafka-based architectures.
• Strong understanding of microservices lifecycle, containerization (Docker), orchestration (Kubernetes), and cloud deployment.
• Minimum 2+ years of experience coding in Scala and proficiency in Python, Shell Scripting, and Apache Spark.
• Experience with Big Data technologies such as Hadoop, Hive, and SQL databases including SQL Server, Oracle, and MySQL.
• Familiarity with DevOps practices, CI/CD pipelines, and monitoring tools like Splunk and CloudWatch

Key Skills

Education

Any Graduate