QA Engineer

Job Title: QA Engineer - Data Platforms (Databricks, Enterprise & Customer Data)

Experience: 3–5 Years

Location: Gurgaon

Job Summary

We are looking for a detail-oriented QA Engineer with 3–5 years of experience in Databricks + Web + Mobile App Testing + Retail Apps, and expertise in Playwright automation. The ideal candidate should have hands-on experience validating Databricks data pipelines, Business Intelligence reports (Power BI), along with end-to-end testing in Retail domain applications.

Key Responsibilities

• Design, develop, and execute test cases for Databricks pipelines, ETL workflows, and BI reports
• Validate Databricks pipelines, ETL workflows, data quality checks, and BI reports using tools like Power BI (data reconciliation, aggregations, filters)
• Perform end-to-end testing across Retail business flows
• Develop and maintain automation scripts using Playwright (JavaScript/Python)
• Collaborate with cross-functional teams (Dev, Data Engineering, Product, Infra, etc.)
• Track and manage defects using tools like Jira/Xray
• Participate in test planning, regression cycles, and release validations
• Ensure test coverage, quality metrics, and reporting

Required Skills

• Experience in Databricks / Data testing (SQL, ETL validation)
• Strong experience in Business Intelligence (BI) report validation using Power BI or similar tools
• Strong knowledge of SQL queries and database validation
• Experience in API testing (Postman/REST tools)
• Familiarity with CI/CD pipelines
• Strong understanding of STLC and Agile methodologies
• Strong experience in Retail domain applications
• Strong experience to BI tools such as Power BI, Tableau for dashboard testing and validation
• Test Kafka-based streaming pipelines, validating message ingestion, topic partitioning, data transformations, and downstream consumption.

Preferred Skills

• Experience in Retail/Supply Chain domain (WMS, OMS, TMS, RMS, etc.)
• Exposure to cloud platforms (Azure)
• Familiarity with tools like Airflow, Databricks workflows
• Knowledge of Python or JavaScript for automation
• Experience with data validation tools and big data testing
• Experience working with large-scale data pipelines
• Exposure to performance testing tools
• Hands-on experience with Playwright Automation framework

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and collaboration
• Ability to work in a fast-paced Agile environment