Key Responsibilities
- Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue.
- Build and optimize data processing workflows using Python, SQL, and AWS services.
- Develop, enhance, and support Java/Spring Boot microservices integrated with AWS.
- Monitor, troubleshoot, and support production applications and data pipelines.
- Work with services such as S3, Lambda, IAM, CloudWatch, SNS/SQS, API Gateway, and RDS.
- Collaborate with cross-functional teams to deliver reliable, secure, and high-performing solutions.
- Perform root cause analysis, incident resolution, and production support activities.
- Follow CI/CD and DevOps best practices for application deployment.
Required Skills
- Strong hands-on experience with AWS Glue (mandatory).
- Experience with AWS services such as S3, Lambda, IAM, CloudWatch, API Gateway, SNS/SQS, and RDS.
- Proficiency in Python and SQL for ETL/data engineering.
- Experience developing Java 8+/Spring Boot microservices.
- Good understanding of REST APIs and Microservices architecture.
- Experience with Git, Maven/Gradle, and CI/CD pipelines.
- Knowledge of production/application support, monitoring, and troubleshooting.
- Good communication and problem-solving skills.
Preferred Skills
- Experience with Apache Spark or Glue Spark Jobs.
- Exposure to Docker/Kubernetes.
- Knowledge of Kafka or other messaging services.
- Experience with Agile/Scrum methodologies.
Skills: java,spring boot,aws
