DevOps Engineer

The following are highlighted entrepreneurial competencies and core expectations for the job/role:

• Communication and interpersonal skills
• Problem-solving and critical thinking skills.
• Understand strategic imperatives.
• Technology & business knowledge

At HCA DT&I, your deliverables will influence patient care. Every process, technology, and decision matters. This role will provide application development for specific business environments. Focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all business, architecture, and technology constraints.

• Work with data engineers, data architects, data scientists, and other internal stakeholders to understand product requirements and then design, build, and monitor data platforms and pipelines that meet today's requirements but can gracefully scale.
• Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely delivery of data, and move the company closer to democratizing data.
• Enable self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.
• Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual.
• Design and create real-time data pipelines that accelerate the time from idea to insight.
• Adheres to and supports data engineering best practices, processes, and standards.
• Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.
• Help promote and support data security best practices that align with industry standards and regulatory and legal requirements.
• Help mentor team members on complex data projects and following the Agile process.
• Help lead data analysis efforts and solution proposals to data related and data architecture problems.
• Help lead implementation of unit and integration tests and promote and conduct performance testing where appropriate.
• Be a leader in the HCA data community. Evangelize data engineering best practices and standards, participate, or present at community events, and encourage the continual growth and development of others.
• Be curious. Be growth minded. Encourage and enable this in others.
• Demonstrate professional and personal maturity through self-leadership.
• Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.
• Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”
• Perform other duties as assigned.
• Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
• Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.
• Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.
• Proven experience effectively prioritizing workload to meet deadlines and work objectives.
• Works in an environment with rapidly changing business requirements and priorities
• Shares knowledge and experience to contribute to growth of overall team capabilities.
• Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations.

A successful candidate will have:

Strong understanding of best practices and standards for GCP Data process design and implementation.

3+ Years of hands-on experience with GCP platform and experience with many of the following components:

Must-Have Skills/Tools:

• SQL
• Python
• CI/CD pipelines, GitHub
• GCS, GKE, Cloud Run, Cloud Functions, Dataflow, Big Query, Cloud Composer
• Terraform
• Docker, Kubernetes

Certifications (a plus, but not required):

• GCP Cloud Professional Data Engineer