01Overview
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. .
