SDET

Required Qualifications
7+ years of experience in Automation Testing, data modeling, QA, or related roles with a strong testing focus.
Proven ability to develop test plans, write test cases, and execute structured
manual testing with clear documentation.

Experience with Gherkin and Cucumber
Strong analytical and communication skills; able to produce
actionable assessment and roadmap deliverables.

Preferred Qualifications
Experience with enterprise data modeling tools (e.g., ER/Studio, ERwin, SAP
PowerDesigner, Sparx EA, or similar).
Familiarity with metadata/catalog/governance platforms (e.g., Collibra, Alation,
Informatica, Microsoft Purview).
Experience with CI/CD and automation tooling (e.g., GitHub/GitLab, Azure DevOps,
Jenkins) and scripting (Python preferred).
Experience implementing automated quality checks (rules engines, schema
validation, model diffing).
Familiarity with common enterprise data platforms (e.g., Snowflake, Databricks,
SQL Server, Oracle, PostgreSQL) and DDL deployment patterns.

Key Competencies
Process analysis and continuous improvement
Manual testing discipline and defect management
Test strategy development and automation planning
Data governance and standards enforcement
Stakeholder management across architecture, engineering, governance, and
delivery teams

Deliverables (Expected Outputs)
Current-state process and technology assessment with prioritized
recommendations.
Manual test plan, test cases, execution results, and defect log.
Future-state testing strategy and test automation roadmap (phased).
Recommended KPIs/controls (e.g., standards compliance rate, defect leakage,
cycle time, automation coverage).
Optional: proof-of-concept automation scripts/pipeline examples (if agreed in
scope).