Associate QA

Role Overview

We are seeking an Associate QA to ensure the completeness, accuracy, and consistency of data across our pipelines and datasets. This role involves hands-on data validation, writing complex SQL queries, and leveraging modern agentic AI tools to enhance testing efficiency.

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.

Requirements

• 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.
• Strong analytical skills and exceptional attention to detail.

Preferred Qualifications

• Cloud platform certification or hands-on experience in one cloud (AWS, Azure, or GCP).
• Basic familiarity with Apache Spark for large-scale data processing and pipeline validation.
• 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.