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:
Solid, hands-on SQL skills for querying, validation, and defect identification.
Valuable 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

Robust 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.

📌 Associate Qa Pune
🏢 EXL
📍 Pune