HiLabs is a leading AI-powered healthcare technology company transforming the US healthcare ecosystem through advanced data quality, analytics, and automation solutions. Our platform processes billions of healthcare records, helping healthcare organizations make accurate, data-driven decisions at scale.

If you are passionate about data quality, building reliable data products, and driving engineering excellence, this role is for you.

Role Overview

We are looking for a hands-on QA Lead / Manager, Data Engineering who can define and drive the quality strategy for our data platforms and productization initiatives. This role requires deep expertise in data testing, data quality, pipeline validation, monitoring, and observability.

You will work closely with Data Engineering, Product, and Business teams to ensure the accuracy, reliability, scalability, and operational readiness of our data products. The ideal candidate will act as an independent quality owner and bring a robust "second-eye" approach to validating complex data workflows.

Key Responsibilities




- Design and implement end-to-end testing strategies for data pipelines and data products
- Define testing approaches for ingestion, transformation, enrichment, aggregation, and reporting layers
- Perform source-to-target validation, data reconciliation, and data integrity testing
- Establish automated data quality checks and validation frameworks
- Develop testing solutions for large-scale data processing systems and high-volume datasets
- Drive monitoring, observability, and quality controls across data platforms
- Collaborate closely with Data Engineering teams to identify quality gaps and improve platform reliability
- Build SQL and Python-based automation frameworks for data validation
- Define quality metrics, test coverage, and release readiness criteria
- Mentor QA engineers and promote quality engineering best practices

Required Skills
- Data Engineering QA, Data Pipeline Testing, ETL Testing, ELT Testin

📌 Data QA Lead (Pune)
🏢 HiLabs
📍 Pune