Senior Quality Engineer
Core
Own end-to-end data quality validation across ingestion, transformation, and consumption layers, ensuring compliance with governance standards.
Role type
Senior IC data quality engineer (ETL & pipeline validation)
Builds
Automated ETL frameworks, data quality rules, and validation pipelines for cloud-based data architectures.
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
Python, PySpark, SQL, Pytest, ETL testing, data pipeline validation, CI/CD integration, schema validation, anomaly detection, test data management, performance testing, container orchestration
Preferred skills
Healthcare data validation, API/UI testing, Agile methodologies
Technologies
Python, PySpark, SQL, Pytest, Selenium, DataGaps, GitHub Actions, AWS (Glue, Iceberg), JMeter, Zephyr, Jira, Docker, Kubernetes
Responsibilities
Design and maintain ETL automation frameworks; Perform source-to-target validation and reconciliation; Implement data quality rules (null checks, schema validation); Validate cloud-based data architectures; Integrate automated data tests into CI/CD pipelines; Mentor junior engineers.
Seniority
Senior, hands-on IC
