Data QA Engineer
Core
Automate testing for Axos core functionality including Web UI, SQL databases, REST APIs, and Mobile devices within the Enterprise Data Management lifecycle.
Role type
Senior QA Automation Engineer (Data Engineering)
Builds
Automated test procedures and validation frameworks for Databricks Lakehouse and data pipelines.
Domain
Financial Services / Data Engineering / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, PySpark/Spark SQL, Python, Databricks notebooks, Delta Lake tables, Databricks Workflows/Jobs, ETL/ELT pipeline testing, Medallion architecture (Bronze/Silver/Gold), CI/CD, Git, Unity Catalog, Agile/Scrum
Preferred skills
Banking industry experience, Databricks certification, Unity Catalog access controls, data lineage validation, AI/LLM tool usage for test generation
Technologies
Databricks, PySpark, Spark SQL, Delta Lake, Unity Catalog, Tableau, Git, CI/CD pipelines
Responsibilities
Define and execute data validation and unit/integration testing methods; Develop automated/manual test procedures for Databricks Lakehouse; Validate data pipelines and ETL/ELT processes across Delta Lake layers; Perform integration, regression, and source-to-target testing; Document bugs and provide test results to developers; Collaborate with stakeholders to understand requirements and develop test plans; Establish data quality rules and governance policies; Leverage AI tools to accelerate test case generation and code review.
Seniority
Mid-Senior, hands-on IC
