We are seeking skilled SDETs (5-7 Years of experience) with strong Python, SQL, and ETL testing expertise to support QE Transformation across Enterprise Risk applications. The role focuses on automation scale, reusable utilities, and AI-assisted QE.
Primary Skills (Must-Have)
- Strong Python programming for data validation and automation
- Advanced SQL (joins, transformations, reconciliation logic)
- Ability to interpret mapping/TSD documents and derive test scenarios
Positive to Have (Optional)
- ETL/Data Warehouse testing across ingestion, staging, and target layers
- Experience with schema/DDL validation, table-to-table comparisons
- AI tools (GitHub Copilot) for script acceleration
- AWS, Redshift, Netezza familiarity
Key Responsibilities
- Accelerate automation across ER applications
- Convert high-volume regression scenarios into Python-based automation
- Identify high-ROI test scenarios for automation
- Extend utilities where feasible
- Build shared utilities (table comparator, SQL generator, DDL validator)
- Use Copilot for SQL/script generation
- Generate automated coverage stability reports
Soft Skills
- Strong analytical debugging capability
- Ability to operate in data-intensive, fast-paced environments
- Effective communication with cross-functional teams