Job Description
Role: Google Cloud Platform Engineer
Location: Denver, CO(Onsite)
As an Google Cloud Platform Engineer , you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities: -
- Design and develop the ETL framework utilizing Google BigQuery, ensuring robust solutions for data management and analytics.
- Create and maintain a cloud architecture roadmap that aligns with the organization's strategic goals and objectives.
- Leverage your expertise in BigQuery concepts such as Nested Queries, Clustering, and Partitioning to optimize performance and efficiency.
- Automate data load processes from BigQuery using APIs or scripting languages.
- Work with Clickstream databases and tools like Google Analytics and Adobe Analytics to derive actionable insights.
- Apply advanced SQL concepts and scripting languages (Python/R) for data manipulation and transformation.
- Utilize BI tools such as Tableau and Power BI to create compelling data visualizations and reports.
- Knowledge of other Google Cloud Platform services is a plus. Familiarity with API Wrappers, Model setup, Terraform, and Kubernetes is advantageous.
- Experience working in Agile/Scrum teams, demonstrating user stories during Sprint Reviews.
- Design, implement, manage, and maintain cloud-based systems, supporting application migration to Google Cloud Platform.
- Ensure cloud resource security through access controls, encryption, and monitoring.
- Collaborate with diverse teams to meet application and infrastructure requirements.
- Proactively monitor cloud deployments for security, performance, and cost, responding to alerts and maintaining system uptime standards.
- Troubleshoot incidents, identify root causes, and implement preventive measures.
- Document architectural elements, compute and storage components, networking, and third-party software recommendations.
- Recent Java 11+ development, JSON, and SQL development experience
- Recent Spring 4 & 5 including Spring Boot 2, Spring Data, Spring Cloud, Spring Integration and Spring REST API development
- Experience of development within an event-driven asynchronous architecture including message broker integration such as Kafka with ability to explain application of relevant design patterns
- Comfortable discussing pros and cons of various middle tier architecture design patterns
- Experience developing modern solutions for high transaction volume performance
- Ability to present value and implement design pattern types for modern software development
- Experience with Agile Scrum and Kanban software development and with Jira
- Experience using IntelliJ IDE preferred including debugging, mocking and proper development of unit tests for each layer of a modern enterprise web application
- Strong experience with modern testing frameworks including Spring unit and integration testing, isolated layer testing types, Junit5, Hamcrest, and other automated testing best practices
- Support opportunities for process improvement, re-imagining, and automation in cloud services.
- Deploy, implement, and configure cloud environments following best practices and security guidelines.
- Establish and enforce architectural governance processes to ensure compliance with industry standards and best practices.
- Stay informed of the latest Google Cloud Platform offerings and industry best practices.
Mandatory skills
- Software development experience.
- Experience with Google Cloud Platform (Google Cloud Platform), Google BigQuery.
- Java 11+, Micro-Services Architecture, REST Based API design, Spring Cloud, Spring Integration with Kafka.
- Spring Batch, Spring Data JPA, SQL Databases, Spring, Spring Boot.
- Working knowledge of Terraform, Kubernetes, and Agile/Scrum methodologies.
- Excellent analytical thinking, problem-solving skills, and the ability to convey information clearly and persuasively.
- Understanding and experience with the six pillars of a well-architected framework.
- Ability to inspire confidence and collaborate effectively with peers and colleagues.
Good to have skills: -
- Experience in working on CI/CD Pipelines using GitLab
- Strong knowledge of applying software development methodologies (SDLC, Agile)
- Proficiencies in relational databases such as Oracle, SQL Server
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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- Dice Id: 10471825
- Position Id: 8536002
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