Data Manual QA Engineer

The Company is a leading global IT, consulting, and business process services organization with operations across 60+ countries. It specializes in digital transformation, cloud, AI, and engineering services, helping businesses drive innovation and operational excellence through technology

What You Need

• 4-6 years of QA experience with a strong focus on Big Data testing, particularly in Data Lake environments on Azure's cloud platform.
• Proficient in Azure Data Factory, Azure Synapse Analytics and Databricks for big data processing and scaled data quality checks.
• Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.
• Proficient in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation.
• Hands-on experience with Functional & system integration testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.
• Knowledge and ability to design and execute test cases in a behaviour-driven development environment.
• Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.
• Familiarity with tools like Jira, including experience with X-Ray or Jira Zephyr for defect management and test case management.
• Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.

Note: Due to a high volume of applications, only shortlisted and relevant candidates will be contacted.