Key Responsibilitiesnn- Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue.n- Build and optimize data processing workflows using Python, SQL, and AWS services.n- Develop, enhance, and support Java/Spring Boot microservices integrated with AWS.n- Monitor, troubleshoot, and support production applications and data pipelines.n- Work with services such as S3, Lambda, IAM, CloudWatch, SNS/SQS, API Gateway, and RDS.n- Collaborate with cross-functional teams to deliver reliable, secure, and high-performing solutions.n- Perform root cause analysis, incident resolution, and production support activities.n- Follow CI/CD and DevOps best practices for application deployment.nnRequired Skillsnn- Robust hands-on experience with AWS Glue (mandatory).n- Experience with AWS services such as S3, Lambda, IAM, CloudWatch,



API Gateway, SNS/SQS, and RDS.n- Proficiency in Python and SQL for ETL/data engineering.n- Experience developing Java 8+/Spring Boot microservices.n- Positive understanding of REST APIs and Microservices architecture.n- Experience with Git, Maven/Gradle, and CI/CD pipelines.n- Knowledge of production/application support, monitoring, and troubleshooting.n- Good communication and problem-solving skills.nnPreferred Skillsnn- Experience with Apache Spark or Glue Spark Jobs.n- Exposure to Docker/Kubernetes.n- Knowledge of Kafka or other messaging services.n- Experience with Agile/Scrum methodologies. .

📌 Data Engineer (AWS Glue Java/Spring Boot) 5 years (Hyderabad)
🏢 Zorba Consulting India
📍 Hyderabad