QA Engineer

Job Responsibilities:

• Collaborate with data engineering, operations, and business teams to understand QA requirements and ensure timely closure within SLAs.
• Perform functional, regression, integration, UAT, and ETL testing across data pipelines and cloud-based platforms.
• Develop and maintain automated test scripts using tools like Selenium or Robot Framework to enhance test coverage.
• Write and execute complex SQL queries for data validation and work with unstructured file types and cloud storage (e.g., AWS S3, SQS).
• Identify, document, and track defects; perform root cause analysis and support continuous improvement of QA processes.
• Contribute in Agile environments and communicate effectively across distributed teams, promoting QA best practices and mentoring as needed.

Basic Qualifications :

• Experience with quality assurance methodologies including smoke testing, regression testing, UAT testing, functional testing, integration testing, test automation, etc.
• At least 4+ years of experience into Automation (Selenium or or Robot Automation)
• Must have data backgrounds
• Strong experience in SQL, and ETL (Extract transform Load) testing.
• Strong Experience working in Agile (Scrum/Kanban) teams distributed across geography.
• Knowledge of Python programming language.
• Excellent verbal and written communication skills. Ability to lead team.
• Ability to identify complex problems and effectively document and communicate them to the development team.
• Experience in Test Automation tools like Selenium or Robot Automation Framework.
• Working knowledge of different unstructured file types.
• Knowledge of AWS – S3/SQS.
• Knowledge of cloud-based data warehouse like Snowflake.

Preferred Skills :

• You have a minimum of 3 years’ experience and hands on hands-on experience on quality assurance (functional, integration, UAT testing).
• 2+ years of test automations.
• Working knowledge of ETL pipelines and has a strong understanding of dimensional modelling and data warehousing methodologies.
• Is passionate about data and the insights that large amounts of data sets can provide.
• Knowledge of Jira, ServiceNow experience helpful.
• Knowledge of BI/reporting tools with Business Objects experience helpful.
• Knowledge of retail industry domain is very helpful.