About the role

We are looking for a QA Engineer to ensure the accuracy, reliability, and performance of data-driven analytics products by validating complex data transformations, API outputs, and backend workflows. You will write SQL queries for data validation, create and execute test cases using Jira and TestRail, and collaborate closely with Product Managers, Data Engineers, and Developers in an Agile environment. The role is primarily manual testing with growing contribution to automation and CI/CD quality gates.

What you will do

• Execute manual and automated tests across APIs, backend pipelines, and analytics outputs;
• Validate data transformations, business rules, and calculations against requirements;
• Write SQL queries to confirm data accuracy, identify inconsistencies, and investigate reported issues;
• Create and maintain test cases, test plans, and execution reports using Jira/TestRail or similar tools;
• Participate in requirements reviews to identify gaps, ambiguities, and edge cases early;
• Support automation efforts by creating or updating API test scripts and regression suites;
• Collaborate with developers and data engineers to troubleshoot defects and verify fixes;
• Contribute to improving CI/CD test integration and quality gates;
• Monitor recurring defects and provide visibility into quality trends;
• Assist in validating releases and confirming readiness for deployment.

Must haves

• 2–4 years of professional QA experience in manual and automation testing;
• Strong SQL skills (joins, DML/DDL, data validation, window functions, logic validation);
• Experience testing APIs manually (Postman, Insomnia, or similar);
• Basic exposure to API automation frameworks or scripting;
• Experience using Jira, TestRail, or similar QA management tools;
• Understanding of CI/CD concepts and version control (GitHub, Bitbucket);
• Ability to analyze functional requirements and propose test scenarios and edge cases;
• Solid understanding of QA processes, regression cycles, and defect lifecycle;
• Upper-intermediate English level.

Nice to haves

• Python knowledge (basic scripting level);
• Experience with Snowflake or other cloud data warehouses;
• Familiarity with Apache NiFi, S3, or AWS Lambda;
• Experience testing Looker, Power BI, MicroStrategy, or similar BI tools;
• Backend automation experience (Python-based frameworks);
• Understanding of data processing, ETL, or large-scale ingestion pipelines;
• Previous exposure to healthcare, pharma, or analytics data.

Perks and benefits

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.

Job Type: Full-time

Work Location: Remote