QA Automation Lead (Data Engineering)- India

Overview

QA Automation Lead for Data Engineering, acting as the primary owner of data quality and reliability for a project in India.

What you'll do

• Drive the end-to-end data testing strategy for data pipelines and analytical platforms.
• Oversee release readiness and support Go/No-Go decisions for data features.
• Partner with data engineering and product to define data validation and automation strategy.
• Design and execute backend and pipeline test cases focused on data integrity and transformations.
• Develop and extend scalable data automation frameworks and data quality monitoring suites (including LLM leverage).
• Establish and enforce data QA best practices, coding standards, and code review processes.
• Use AI-powered tools to prototype, scaffold test suites, diagnose failures, and generate validation scenarios.

What you'll need

• Bachelor’s degree in Computer Science, Data Engineering, or equivalent experience.
• 7–10 years in Software Quality Assurance, leading end-to-end testing across software and data lifecycle.
• Strong SQL skills and knowledge of relational databases for validation, reconciliation, and root-cause analysis.
• Understanding of data engineering concepts like pipelines, ETL/ELT, data warehouse architecture, and OLAP technologies.
• Strong Python proficiency for reading, understanding, and debugging data pipeline code.
• Proven experience designing and implementing QA automation frameworks and CI/CD-integrated testing.
• Experience using AI tools (e.g., Augment, Cursor, Gemini) to accelerate test authoring and assist debugging.
• Strong English written and verbal communication skills.

Details

• Location: India.