QA Automation Engineer ID69196
Core
Ensuring accuracy, reliability, and performance of data-driven products within an analytics platform by validating complex data transformations, API outputs, and backend workflows.
Role type
QA Automation Engineer (Analytics Platform)
Builds
Data validation, API test suites, regression suites, and quality gates for analytics products.
Domain
Analytics, Data Engineering, API Testing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (joins, DML/DDL, window functions), API testing (Postman/Insomnia), Test management (Jira/TestRail), CI/CD concepts, Version control (GitHub/Bitbucket), Defect lifecycle management, Requirements analysis
Preferred skills
Python scripting, Cloud data warehouses (Snowflake), ETL pipelines, BI tools (Looker/Power BI), Healthcare/Pharma domain knowledge
Technologies
SQL, Postman, Insomnia, Jira, TestRail, GitHub, Bitbucket, Snowflake, AWS Lambda, Apache NiFi, Amazon S3
Responsibilities
Execute manual and automated tests across APIs and backend pipelines; Validate data transformations and business rules; Write SQL queries to confirm data accuracy; Create and maintain test cases and execution reports; Participate in requirements reviews to identify gaps; Support automation efforts by creating API test scripts; Collaborate with developers to troubleshoot defects; Contribute to CI/CD test integration; Monitor recurring defects and quality trends.
Seniority
Mid-level, hands-on IC
