Data Engineer (AWS Glue + Java/Spring Boot)_5+ years

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.