Sr. QA SDET Data Engineering

We are seeking a Senior QA SDET with strong hands-on skills in Python automation, Snowflake, ETL/ELT, and Informatica-based testing. This role focuses on building and executing automated data validation tests and contributing to the team's overall quality assurance effort.

Roles and Responsibilities
Key ResponsibilitiesAutomation & Technical Execution

• Develop Python scripts/frameworks for automated data validation and reconciliation.
• Execute source-to-target validation across Snowflake and ETL pipelines.
• Build and run automated tests for Informatica ETL/ELT workflows.
• Write and execute complex SQL queries for data validation and investigation.
• Contribute reusable automation components to the shared test framework.
• Support CI/CD integration of automated test suites.

Quality Assurance

• Design and execute test cases across functional, regression, integration, and data-quality testing.
• Validate data completeness, accuracy, consistency, uniqueness, integrity, and timeliness.
• Log, triage, and support root-cause analysis of defects within assigned scope.
• Track test execution status, coverage, and defect metrics for team reporting.
• Follow established quality gates, Definition of Done, and release criteria.

Data & Domain

• Build working knowledge of assigned business-critical data flows and dependencies.
• Translate business/data rules into concrete test cases and validation checks.
• Collaborate with Data Engineers, Developers, and Business Analysts to investigate and resolve data quality issues.

Collaboration & Growth

• Support the Lead QA SDET with test planning, execution tracking, and reporting.
• Mentor junior QA engineers as needed.
• Use AI-assisted testing tools where appropriate, flagging AI-generated tests for review.

Required Skills

Core (Mandatory):

• Python – strong scripting and automation experience.
• Snowflake – strong hands-on experience in data validation.
• ETL/ELT – solid understanding of pipelines and data validation.
• Informatica – working hands-on experience.
• Strong SQL and data warehouse fundamentals.
• Data profiling, reconciliation, and transformation validation experience.

Quality Assurance (Mandatory):

• Test case design and execution (functional, regression, integration).
• Defect logging and basic RCA support.
• Test coverage tracking and reporting.
• Awareness of quality gates and release criteria.

Preferred:

• Exposure to CI/CD pipelines.
• Cloud data platforms / data lakes.
• API testing.
• Interest/exposure to AI-assisted testing tools.

Experience

Recommended: 3.5–5 years, with solid hands-on experience in Python test automation, Snowflake, ETL, and Informatica-based testing.

Key CompetenciesCompetencyExpected LevelPython (Automation)AdvancedSQLAdvancedSnowflakeAdvancedETL/ELT TestingAdvancedInformaticaIntermediate/AdvancedData Quality/ValidationAdvancedTest Case Design & ExecutionAdvancedDefect AnalysisIntermediateQuality Gates (awareness)IntermediateQA Metrics ReportingIntermediateCollaborationAdvanced