Data Engineer

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.