QA Lead – Data Platform (Insurance Domain)

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 strong 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.
• Strong 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.

Skills Required
snowflake , Qa Lead, Amazon Kinesis, Sql, dbt, AWS Glue