Google Cloud Platform Cloud Engineer with Java

Responsibilities:

• Design, enhance, and troubleshoot data ingestion pipelines using Google Cloud Platform Dataflow and Dataproc for both batch and streaming workloads.
• Manage and maintain Google Cloud Platform Composer (Apache Airflow) environments including DAG development, scheduling, and issue resolution.
• Monitor and optimize Airflow performance, scalability, and reliability.
• Maintain and support Google Cloud Platform infrastructure including GCS, BigQuery, Dataflow, Dataproc, Cloud Functions, and Cloud Run.
• Manage IAM roles, service accounts, and secure access using Secret Manager.
• Monitor Google Cloud Platform usage, quotas, and proactively address performance or capacity issues.
• Implement logging, monitoring, and alerting using Cloud Monitoring and Logging tools.
• Design and develop database solutions with strong RDBMS and PL/SQL expertise.
• Develop and maintain Spring Boot APIs to support backend services.
• Build and manage Docker containers and create Dockerfiles for application deployment.
• Design and implement Infrastructure as Code (IaC) using Terraform for Google Cloud Platform resources.
• Collaborate with DevOps and development teams to manage CI/CD pipelines using Jenkins and automation tools.
• Ensure cloud security, compliance, and cost optimization best practices are followed.
• Document system architecture, configurations, and operational procedures.

Required Qualifications:

• Strong experience with Google Cloud Platform (Google Cloud Platform) services including Dataflow, Dataproc, BigQuery, GCS, and Cloud Composer.
• Proficiency in Java or Python programming.
• Experience managing Apache Airflow environments and DAG workflows.
• Strong understanding of IAM, service accounts, and cloud security principles.
• Experience with Terraform for infrastructure automation.
• Experience with Docker and containerization.
• Strong database design skills with RDBMS and PL/SQL knowledge.
• Experience with monitoring and logging tools in Google Cloud Platform.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and documentation abilities.

Preferred Qualifications:

• Knowledge of Angular for frontend development.
• Experience with CI/CD tools such as Jenkins.
• Familiarity with DNS and SSO configuration.
• Experience with CDC (Change Data Capture) pipelines.

Key Skills:

• Google Cloud Platform (Google Cloud Platform) Engineering.
• Data Pipelines (Batch & Streaming).
• Apache Airflow (Cloud Composer).
• Java / Python Development.
• Terraform & Infrastructure as Code.
• Docker & Containerization.
• BigQuery & Data Engineering.
• CI/CD & DevOps Practices.
• Cloud Security & Monitoring.