QA Engineer ID69196
Core
Ensuring accuracy, reliability, and performance of data-driven analytics products by validating complex data transformations, API outputs, and backend workflows.
Role type
QA Engineer (Data & Analytics)
Builds
Data-driven analytics products for Fortune 500 brands and startups
Domain
Data analytics, API testing, backend workflows
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), Manual testing, Automation scripting
Preferred skills
Python (scripting), Cloud data warehouses (Snowflake), ETL pipelines, BI tools (Looker/Power BI), Healthcare/pharma domain knowledge
Technologies
Jira, TestRail, Postman, Insomnia, GitHub, Bitbucket, Snowflake, Apache NiFi, Amazon S3, AWS Lambda, Python
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 (2–4 years experience)
