Associate QA

Job description

Job Description: Key responsibilities - Validate data for completeness, accuracy, and consistency across pipelines and datasets. - Verify data types, formats, and schema against expected templates and data contracts. - Write and execute SQL queries to identify data discrepancies and quality issues. - Use agentic tools like Claude and Cursor to assist in generating test cases, reviewing queries, and automating validation steps. - Understand and translate business requirements into testable data validation rules. - Document and report defects clearly and collaborate with development teams to drive resolution. Participate in cloud-based data environment testing. **Responsibilities: Skills & requirements** - Mandatory: - Strong, hands-on SQL skills for querying, validation, and defect identification. - Good understanding of data validation concepts — schema checks, data types, null handling, and referential integrity. - Willingness to use Claude, Cursor, or similar agentic AI tools to enhance productivity and generate test coverage. - Ability to think from a business domain perspective — validating not just technical accuracy but real-world data sense. - Preferred: - Cloud platform certification or hands-on experience in one cloud (AWS, Azure, or GCP). Role is cloud agnostic — any is valid. Preferred - Basic familiarity with Apache Spark for large-scale data processing and pipeline validation. Preferred Strong analytical skills and exceptional attention to detail. - Qualifications: Nice to have - Experience with test management tools (Jira, Azure DevOps, or similar). - Understanding of data pipeline frameworks (dbt, Databricks, or similar). - Familiarity with Python for scripting basic validation or automation tasks. - Understanding of CI/CD concepts and how testing fits into a data engineering pipeline.