Associate QA

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.

• 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.

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.