Job Title: QA Lead – Data Platform (Insurance Domain)
Job Summary
We are seeking an experienced QA Lead to lead quality assurance for an enterprise-scale data platform in the insurance domain. The ideal candidate will have robust expertise in data testing, ETL/ELT validation, Snowflake, dbt, AWS Glue, Amazon Kinesis, SQL , and Power BI , with experience validating both batch and real-time data pipelines.
Locations (Pune/Bangalore/Hyderabad/Chennai/Kolkata
Key Responsibilities
Lead end-to-end QA strategy and execution for enterprise data platforms.
Validate data across Raw, Silver, and Gold layers for accuracy, completeness, and consistency.
Perform source-to-target reconciliation and data quality validation.
Test batch (AWS Glue) and real-time (Amazon Kinesis) data pipelines.
Validate dbt transformations, Snowflake data models, and Power BI reports.
Develop automated data testing frameworks using SQL, Python,



and data quality tools.
Execute performance, scalability, and data governance testing.
Collaborate with engineering, analytics, and business teams to ensure high-quality data delivery.

Required Skills
8–12 years of experience in Data QA, ETL Testing, or Data Validation.
3+ years of QA Lead experience.
Solid hands-on experience with Snowflake, dbt, AWS Glue, Amazon Kinesis, SQL , and Power BI .
Experience with data reconciliation, data quality frameworks, and test automation.
Python experience is preferred.
Understanding of Medallion Architecture (Raw/Bronze, Silver, Gold).

Preferred
Experience in the Insurance domain (Policy, Claims, Billing).
Knowledge of regulatory reporting, audit, and reconciliation processes.

📌 Qa Lead – Data Platform Bengaluru
🏢 Diverse Lynx India Private
📍 Bengaluru