At Blend360, we empower exceptional results for our clients and other major organizations by combining advanced analytics, data, and technology. We are a growing company with a passion for advancing the careers of talented people. We offer a collaborative work environment where you will - Partner with a smart and passionate group of people who value your success. - Work with an impressive list of clients who appreciate Blend360's services and expertise. - Thrive in a company committed to growth and employee development. The Quality Assurance Manager position is responsible for delivering excellent customer experiences through thorough understanding of customer requirements and collaboration with technical teams to develop and implement solutions that meet customer needs. Key Responsibilities: - Coordinate with the development team to identify potential issues that may impact product quality. - Validate data quality, model performance, and system functionality throughout all solution lifecycle phases. - Develop and execute test plans to ensure solution accuracy, reliability, and alignment with business and technical requirements. - Estimate, prioritize, plan, and coordinate testing activities. - Contribute to architecture and design activities, including evaluating business needs and objectives, seeking alternative technology solutions, exploring ways to enhance data quality and reliability, and collaborating with Data engineers, Architects, data scientists, and business analysts. Requirements: - 5+ years of experience as a QA Engineer, SDET, or similar role. - Degree in Computer Science, Data Science, Mathematics, IT, or related field. - English level B2 or higher. - Hands-on experience with Snowflake for data warehousing and analytics. - Deep understanding of at least one object-oriented programming library (preferably Python). - Strong SQL skills and good knowledge of SQL-based data warehouses and relational databases. - Intermediate or higher proficiency in PySpark. - General interest in technology with ability to learn and adapt to new tools and evolving requirements. - Familiarity with Azure services, including Azure Data Lake, Blob Storage, and Key Vault. - Ability to communicate effectively with both developers and management, explaining pros and cons of different technical approaches.