Big Data Engineer / Sr. Level - GCP

Responsibilities

• Work with API 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 a 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 APIs that accelerate the time from idea to insight.
• Adhere to and support API best practices, processes, and standards.
• Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.
• Helps promote and support data security best practices that align with industry standards and regulatory and legal requirements.
• Mentor team members on complex data projects and following the Agile process.
• Lead data analysis efforts and solution proposals to data related and data architecture problems.
• Lead implementation of unit and integration tests and promote and conduct performance testing where appropriate.
• Be a leader in the HCA data community. Evangelize API 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.

Qualifications

• Strong understanding of best practices and standards for GCP Data process design and implementation.
• 2+ years hands-on experience with GCP platform and experience with many of the following components: Postman, Bruno, Dynatrace, API versioning, caching, and pagination, Cloud Run, GKE, Bigtable, Cloud SQL, Cloud Spanner, BigQuery, Cloud Function, Cloud Run, CI/CD, Cloud Logging, GitHub, FHIR Format.
• 4+ Years of hands-on experience with many of the following components: API Development, Apigee, Python FastAPI Framework, Streaming, Kafka, SQL, JSON, Avro, Parquet, Java, Python, or Scala.
• Certifications (a plus, but not required): GCP Cloud Professional Data Engineer.
• Bachelor's degree in computer science, related technical field, or equivalent experience.
• Master's degree in computer science or related field.
• 7+ years of experience in API Engineer.
• 3+ years of experience in Healthcare.
• 10+ years of experience in Information Technology.