Specialist, QA Engineer, Data Engineering
Core
Design, implement, and maintain automated test suites for an enterprise-grade, cloud-native data ingestion platform used to ingest data from 20+ source systems into a centralized data lake.
Role type
Senior QA Automation Engineer (Data Engineering)
Builds
Automated test suites covering 150+ end-to-end integration scenarios for data ingestion pipelines
Domain
Healthcare biopharma / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Robot Framework, Python 3.x, AWS (S3, Glue, IAM, CloudWatch), ETL testing, CI/CD (GitHub Actions), Data pipeline concepts (CDC, schema evolution), Git
Preferred skills
Databricks (Unity Catalog, Delta Lake), Apache Airflow, Docker, AI/ML for test generation, GxP-regulated system testing
Technologies
Robot Framework, Python, AWS, GitHub Actions, Jira, Xray, Git, Apache Airflow, Databricks, Docker, S3
Responsibilities
Design and maintain Robot Framework test cases and custom Python libraries; Triage and debug pipeline failures in CI/CD, Airflow, Glue, and Databricks; Maintain requirements traceability matrix; Execute regression suites and report results via Jira/Xray; Collaborate with platform engineers to validate features; Contribute to test infrastructure (Docker, S3 fixtures)
Seniority
Senior, hands-on IC