Job Overview :
We are seeking a highly skilled Back End Java Engineer with hands-on experience in ETL development, Spark processing, and AWS-based data workflows . The ideal candidate will be responsible for designing, developing, and optimizing backend services, data pipelines, and integrations that power large-scale distributed systems.
Required Skill :
- 12+ years of professional experience as a Backend or Java Engineer .
- Strong proficiency in Java (Core Java, Collections, Multithreading, Streams).
- Hands-on experience with Apache Spark for large-scale data processing.
- Proven experience in building and maintaining ETL pipelines .
- Practical knowledge of AWS cloud services including Glue, Step Functions, Lambda, SNS, SQS, and S3 .
- Familiarity with open-source frameworks and libraries for backend development.
- Solid understanding of RESTful API development and integration.
- Experience with version control (Git), CI / CD, and Agile methodologies.
Preferred :
Experience with Python or Scala for data workflows.Familiarity with Terraform or CloudFormation for infrastructure automation.Exposure to containerization (Docker, Kubernetes) .Job Description :
Design, develop, and maintain backend services and data processing pipelines using Java and Spark .Implement and manage ETL workflows to handle large-scale data transformation and integration.Build and automate data orchestration pipelines using AWS Glue, Step Functions, Lambda, SNS, SQS, and S3 .Collaborate with front-end, data engineering, and DevOps teams to deliver end-to-end solutions.Ensure code quality, scalability, and performance optimization through best engineering practices.Troubleshoot and resolve production issues, ensuring reliability and system uptime.Contribute to the design and implementation of cloud-native microservices and event-driven architectures .Participate in Agile ceremonies, peer reviews, and CI / CD pipeline maintenance.