Senior QE Test Engineer – SDET

Overview

In this role you will own automated data testing within a multi-vendor data migration program. You will validate data pipelines, transformations, and analytics on an AWS-based data platform, ensuring data quality and reliability. You’ll work in an agile Data Factory setup, building reusable test assets and aligning with cross-functional partners to deliver quality data solutions. This is an opportunity to shape testing practices for data-centric initiatives and contribute to a high-impact migration to a modern Lakehouse architecture.

Pay / Benefits

• flexible work options
• continuous learning and development
• tailored benefits for wellbeing and finances
• inclusive and diverse workplace
• opportunity to work on high-impact data initiatives
• support for audits and compliance

Responsibilities

• Design, develop, and execute automated data tests aligned with requirements
• Ensure test data governance and quality controls
• Validate data quality dimensions and perform source-to-target reconciliation
• Collaborate with cross-functional teams across multiple vendors
• Translate data mappings and business rules into automated test scenarios
• Develop reusable test scripts using approved automation frameworks
• Test data feed migrations from legacy warehouse to new AWS Data Lakehouse
• Execute automated tests in sprint-based and regression cycles
• Document test results, metrics, and quality status
• Support CI/CD with automated test execution and version-controlled assets
• Provide validation for data readiness during releases
• Collaborate with Data Engineers, Platform Engineers, and SMEs to validate test coverage

Key requirements

• Experience in data engineering testing
• Strong AWS data pipelines knowledge (Data Warehouse, Data Lakehouse)
• Proficiency in Python/PySpark, SQL, YAML
• Experience building test automation frameworks from scratch (OO and scripting)
• Experience with CI/CD (GitHub Actions or similar)
• Knowledge of AI-driven testing solutions and accelerators
• Familiarity with data quality concepts and testing methodologies
• Experience with JIRA, XRAY, and ADO for defect management and reporting
• Solid problem-solving and analytical skills
• Ability to work in a multi-vendor, agile environment

• Collaborative approach to cross-functional teams
• Strong communication and documentation
• Critical thinking and problem-solving
• AWS data services (incl. AWS Glue)
• Python/PySpark
• SQL

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