Quality Engineering Lead – Data & Reporting Platforms

Overview

VP, Quality Engineering Lead for automated testing of next-generation AI-powered data and reporting platforms.

What you'll do

• Architect and execute an end-to-end automated testing strategy for data virtualization, federated queries, BI/reporting, and AI-enabled analytical interfaces.
• Lead, mentor, and functionally manage a team of Data & Report Quality Engineers and drive continuous improvement.
• Define quality operating standards, automated quality gates, and data verification protocols across delivery lifecycles.
• Build automated test frameworks for federated query/virtualization validation, latency, and data integrity.
• Implement data contract and schema validation for curated virtualized data products.
• Integrate data and report automation suites into CI/CD pipelines for continuous verification.

What you'll need

• Total testing experience of 10-12 years in software testing, quality engineering, or data engineering.
• Data automation experience of 5-8 years in automated data testing, ETL testing, or data pipeline quality engineering.
• BI & analytics verification experience of 5-8 years in report/BI testing, data reconciliation, and source-to-target validation.
• Proficiency in Python or Java to build and scale custom test automation frameworks.
• Advanced SQL experience testing relational databases such as Oracle and SQL Server.
• Strong API testing experience (REST/SOAP) and data contract validation using tools like Postman or RestAssured.
• Bachelor’s degree in Computer Science, Information Systems, or equivalent engineering field.

Details

• Location: Pune, Maharashtra, India.
• Employment type: Full time.