Master’s degree or foreign equivalent in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Data Engineering, or related field and 5 years of experience in the job offered or related occupation. 5 years of experience with each of the following skills is required: 1. Designing and implementing enterprise data solutions, including managing data catalogs, and writing optimized SQL queries and procedures across databases, including PostgreSQL, MSSQL, and Oracle. 2. Developing web-based applications using Java Spring Boot, JavaScript, TypeScript, and Angular frameworks. 3. Applying data governance, security best practices including row-level-access and column-level access controls in cloud environments. 4. Leveraging code quality and security tools, including SonarQube, 42 Crunch, and FOSSA, to ensure secure and maintainable software development. 5. Automating data platform processes for operational efficiency and reliability. 6. Utilizing GitHub for source code management and collaboration, creating data visualization dashboards using Qlik and Looker for monitoring system performance, and troubleshooting using Dynatrace. 4 years of experience with each of the following skills is required: 1. Leveraging DevOps and containerization technologies (Docker and Podman) to build, deploy, and manage cloud-native microservices and data pipelines. 2. Designing, implementing, and maintaining Continuous Integration and Continuous Delivery (CI/CD) pipelines using Tekton, Cloud Build, and Jenkins to automate testing and multi-cloud deployments. 3. Programming backend services using Java, Spring Boot, and J2EE frameworks and architecting RESTful APIs and microservices aligned with Service-Oriented Architecture (SOA) principles. 4. Deploying and managing solutions on Google Cloud Platform (GCP) including BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and Vertex AI. 5. Applying Agile methodologies using JIRA.
