QA Engineer

Job Title: QA Analyst: Data Reliability 

Department: Software Quality Assurance (QA) 
Location: India
Employment Type: Full-time 

About the Role 

We are seeking a highly analytical and detail-oriented Data Reliability Analyst to join our Software QA team. In this role, you’ll be responsible for ensuring the integrity, accuracy, and reliability of data flowing through our modern data pipeline-from ingestion through processing and visualization. This is a unique opportunity to work across systems including Kafka, Databricks, MongoDB, and REST APIs. 

Your work will directly impact business-critical decisions and product experiences by validating data transformations, identifying anomalies, and maintaining reusable test datasets that simulate real-world conditions. You’ll collaborate cross-functionally with engineers, analysts, and product stakeholders to raise the bar for data quality and reliability. 

Key Responsibilities 

• Validate data transformations across the pipeline-from Kafka event streams to processed data in Databricks and MongoDB, through APIs and UI. 

• Design and execute validation strategies that ensure data accuracy, completeness, and consistency. 

• Analyze large datasets to identify anomalies, data mismatches, and transformation issues. 

• Build, curate, and maintain test datasets to support multiple QA use cases and test environments. 

• Collaborate with developers and QA engineers to design test cases, validation rules, and data mapping documentation. 

• Develop scripts, dashboards, or alerts to proactively monitor data quality. 

• Participate in code reviews and provide input on schema design, transformation logic, and reliability strategies. 

• Document validation plans, data exception reports, and reliability metrics.