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

- Solid 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

📌 Data Engineer (AWS Glue + Java/Spring Boot)_5+ years (Indore)
🏢 Zorba AI
📍 Indore