Required Work Experience:
· Lead and drive the end-to-end data quality strategy for our enterprise data products and services.
Required:
· 15+ years of experience in data quality testing, data validation, or data engineering QA, with at least 3+ years in a leadership role.
· Expertise in data warehouse, data lake, and ETL testing on cloud-based platforms (preferably GCP BigQuery).
· Strong proficiency in SQL and Python for data validation and automation.
· Experience with data testing frameworks (e.g., Great Expectations, dbt tests, Deequ).
· Proven track record of test automation, CI/CD integration, and performance testing.
· Defining Test Data requirements / Test Bed for large projects / programs
· Strong analytical and problem-solving skills with the ability to debug complex data issues.
· Excellent leadership, communication, and stakeholder management skills.
Preferred:
· Experience in healthcare data platforms and compliance regulations (HIPAA, FHIR, HL7).
· Familiarity with data observability, metadata management, and governance tools (e.g., Collibra, Monte Carlo).
· Knowledge of GCP data services, including Dataflow, Pub/Sub, and Cloud Storage.
· Experience in data API testing and service validation.
ReplyReply allForward |