Related skills
bigquery python google cloud dbt airflow📋 Description
- Guide clients and teams on architectural patterns; educate via workshops.
- Design Google Cloud-based solution architectures.
- Implement PoC and MVP workloads.
- Build data platforms with DB objects, data, pipelines, security.
- Migrate workloads and translate DDL/SQL to BigQuery and Cloud SQL.
- Set up Google Cloud components via Infrastructure as Code.
🎯 Requirements
- 5+ years in database management and IT.
- GCP architecture with BigQuery, Dataproc, Dataflow, Cloud Storage, Cloud Functions.
- Design data models in BigQuery.
- Advanced SQL: write, tune, interpret queries; DBMS experience.
- Python with Spark/Beam/Pandas; Airflow; APIs (GraphQL, FastAPI, Django, Flask).
- Certification: Google Cloud Professional Architect or Data Engineer preferred.
- Healthcare domain experience (FHIR stores) is a plus.
- Migration experience: Teradata to BigQuery; MySQL/PostgreSQL/Oracle to Cloud SQL.
🎁 Benefits
- Equal Opportunity employer; all qualified applicants will be considered without regard to protected status.
- Culture supports innovation and professional growth.
- AI transparency: recruitment tools used with final human decisions.
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