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 Robust 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.

Positive understanding of REST APIs and Microservices architecture.

Experience with Git, Maven/Gradle, and CI/CD pipelines.

Knowledge of production/application support, monitoring, and troubleshooting.

Positive 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

📌 Data Engineer Aws Glue + Java/spring Boot 5+ Years Noida
🏢 Zorba AI
📍 Noida