Job Description
Job Summary:
We are looking for a detail-oriented QA Engineer with 35 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 JavaScript/Python/Java
- 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 with PySpark to validate large datasets Databricks
- 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
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