Associate QA

Jobtailor; Pune District; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Jobtailor is seeking a data validation specialist to ensure data quality across multiple pipelines. You will write SQL queries, validate data types and schemas, and translate business requirements into testable rules.

The role emphasizes collaboration, defect reporting, and leveraging AI tools like Claude and Cursor to automate test coverage and improve data integrity.

Qualifications

• Strong 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 AI tools to enhance productivity and test coverage.
• Ability to translate business requirements into testable data validation rules.

Responsibilities

• Validate data for completeness, accuracy, and consistency across pipelines and datasets.
• Verify data types, formats, and schema against expected templates and contracts.
• Write and execute SQL queries to identify data discrepancies and quality issues.
• Document and report defects clearly and collaborate with teams to drive resolution.

Skills

SQL

Data Validation

Data Types

Schema Checks

Null Handling

Referential Integrity

Python

CI/CD Concepts

Data Quality

Test Coverage

Education

Bachelor's degree in Computer Science or related field

Tools

Jira

Azure DevOps

Databricks

Claude

Cursor

Job description

• 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.
• 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.

Core Competencies

Demonstrates strong SQL skills for data validation and defect identification, with a solid understanding of data validation concepts and the ability to translate business requirements into actionable data validation rules. Proficient in using agentic tools and test management software to enhance productivity and ensure data quality.

Highest-signal resume keywords

• SQL Querying
• Data Validation Concepts
• Agentic Tools (Claude, Cursor)
• Test Management Tools (Jira, Azure DevOps)
• Data Pipeline Frameworks (dbt, Databricks)

Hard Skills

• SQL
• Data Validation
• Data Types
• Schema Checks
• Null Handling
• Referential Integrity
• Python
• CI/CD Concepts
• Data Quality
• Test Coverage

Soft Skills

• Collaboration
• Business Domain Perspective
• Clear Communication

Industry Keywords

• Data Pipelines
• Data Engineering
• Data Contracts
• Cloud-Based Testing
• Test Management

Tools & Technologies

• Claude
• Cursor
• Jira
• Azure DevOps
• Databricks