GCP LEAD OR Senior- Hybrid OR Remote

Role & responsibilities

GCP LEAD OR SR

We are looking for a LEAD OR SENIOR GCP Data Engineer to help design, develop, test, and support cloud-based healthcare data pipelines and backend services on Google Cloud Platform. This role will work closely with senior engineers to process healthcare files from GCS, support event-driven workflows using Pub/Sub/Eventarc, implement data processing using Cloud Run/Dataflow, load data into BigQuery, relational databases, document databases, and support integration with FHIR Store and downstream applications.

The role may also support search and AI-assisted capabilities for healthcare PDFs, CCDA files, FHIR data, and clinical documents using search indexes, embeddings, NER tools, and semantic search pipelines.

AI Exp is Mandatory for this role- 6 months MINIMUM

Required Skills

• 4+ years of hands-on database experience, data engineering experience including relational databases, Bigquery and document databases
• 4 years of hands-on database experience, including SQL, relational database concepts, data modeling, query writing, indexing basics, and data validation.
• 3 years of cloud experience, preferably on Google Cloud Platform.
• Strong programming experience, especially with Python, including:
• Object-oriented programming
• Modular code development
• Error handling
• Logging
• Unit testing
• Package management
• Backend or data pipeline development
• Experience with RDBMS technologies, such as PostgreSQL, MySQL, SQL Server, Oracle, or equivalent.
• Experience building or supporting data pipelines, including batch, event-driven, API-based, or streaming workflows.
• Hands-on experience with GCP services such as: GCS, Pub/sub, Cloud Run, Data flow
• Experience integrating with external APIs, including authentication, retries, error handling, and basic monitoring.
• Docker experience for containerized application development.
• Git/GitHub experience, including branching, pull requests, and code reviews.
• Experience with CI/CD pipelines, preferably using GitHub Actions, Cloud Build, or similar tools.
• Ability to debug application, pipeline, database, and cloud service issues using logs and monitoring tools.
• Ability to write clean, maintainable, testable, and well-documented code.
• Ability to work from architecture diagrams, technical specifications, and implementation tickets.
• Please add production-grade GenAI systems to design, build, and operate scalable LLM and RAG solutions as a mandatory requirement in the JD

Preferred candidate profile

Perks and benefits