Software Engineer, QA

Talent500 is hiring for one of its clients.

About Five Below:

At Five Below, our growth is powered by the people who embrace our purpose and by a retail model that brings trend-right value to customers in every market we serve.

We are a fast-growing retailer with more than 2,000 stores, along with a digital presence through our website and mobile app.

It all starts with our purpose and then, The Five Below Way, which is our values and behaviors that each and every associate believes in.

It's all about culture at Five Below, making this a place that can inspire you as much as you inspire us with big ideas, super energy, passion, and the ability to make the workplace a WOW place!

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 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