QA Automation Lead (Data Engineering)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a QA Automation Lead (Data Engineering) in India.

This role sits at the intersection of data engineering and quality assurance, where you will take ownership of end-to-end data quality across modern data platforms and pipelines. You will define and drive the testing strategy for large-scale data systems, ensuring accuracy, reliability, and performance across distributed architectures. The position involves close collaboration with data engineers, product managers, and data scientists to embed quality into every stage of development. You will lead automation-first initiatives, building scalable frameworks that reduce manual validation and improve release confidence. Operating in a fast-paced, remote-friendly environment, you will play a key role in shaping data reliability standards and ensuring high-quality data products for critical business decisions. This is a leadership role combining technical depth, strategic ownership, and hands-on automation expertise.

Accountabilities:

• Define and drive the end-to-end data QA and automation strategy for data engineering projects, ensuring data integrity and reliability across platforms.
• Design, develop, and execute advanced test cases for backend data systems, including ETL/ELT pipelines, batch, and streaming architectures.
• Build and maintain scalable QA automation frameworks and data validation suites integrated into CI/CD pipelines.
• Leverage AI-powered development tools to accelerate test creation, debugging, and optimization of data validation workflows.
• Ensure robust data governance, quality standards, and best practices across engineering teams.
• Partner with data engineering and product teams to define release readiness criteria and support Go/No-Go decisions.
• Drive automation-first testing approaches to reduce manual reconciliation and improve efficiency.
• Establish monitoring, logging, and observability standards for data quality across pipelines.
• Lead and mentor QA engineers while promoting technical excellence and continuous improvement.

Requirements:

• 7–10 years of experience in software quality assurance with strong exposure to data engineering environments.
• Strong proficiency in SQL for complex data validation, reconciliation, and root cause analysis.
• Solid understanding of data engineering concepts including ETL/ELT pipelines, data warehouses, and distributed data systems.
• Hands-on experience with Python for test automation, debugging, and data pipeline validation.
• Proven experience designing and implementing QA automation frameworks integrated with CI/CD pipelines.
• Experience owning release cycles, including testing strategy, execution, and production readiness validation.
• Familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift.
• Strong analytical thinking, attention to detail, and problem-solving skills.
• Excellent communication skills and ability to work independently in Agile, fast-paced environments.
• Proactive use of AI tools for automation, debugging, and productivity enhancement in QA workflows.

Benefits:

• Fully remote-friendly work environment with flexible working arrangements
• Opportunity to work on large-scale, modern data platforms and AI-driven systems
• Strong focus on professional growth, learning, and technical upskilling
• Exposure to cutting-edge data engineering and automation technologies
• Collaborative, high-performance, and innovation-driven engineering culture
• Competitive compensation aligned with experience and market standards
• Inclusive and global work environment with cross-functional collaboration

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1