Software Quality Assurance Engineer

Experience Required

• 4 to proven experience in Database Management, generating medium to high complexity SQL queries for QA validation, debugging data issues, and ensuring data integrity.
• Working knowledge of Oracle, MSSQL, Redshift Databases, AWS S3, and SQL IDEs such as SQL Developer/DB Visualizer/Toad.
• 3 to 4 years confirmed ability in extraction, transformation, and Loading techniques (ETL) for data in multiple formats from multiple sources.
• Proficiency in Python programming language, enabling efficient data manipulation and analysis.
• Familiarity with cloud infrastructure like AWS or Azure and respective cloud storage systems like AWS S3 /Azure Blob.
• Experience in development models such as Agile or waterfall, ensuring successful project execution.
• Strong analytical skills, attention to details, and ability to work both independently.
• Requirement analysis and understanding of DWBI technical specification documents, giving to accurate testing.
• Ability to analyze and understand ETL workflows, ensuring the reliability and efficiency of data processes.
• Strong SQL skills, enabling the validation of business rules and the identification of data issues.
• Experience in backend validation of reports developed using tools like Tableau or POWER BI, ensuring accurate and reliable reporting.
• Strong experience in data analytical testing and a good understanding of the data model, giving to data-driven decision-making.
• Ability to work in a fast-paced work environment with minimal supervision, demonstrating self-motivation and accountability.
• Strong technical, problem-solving, project coordination, and analytical skills, ensuring successful project outcomes.
• Defect tracking till closure, ensuring the resolution of any issues in a timely manner.
• Ability to work on multiple releases and projects simultaneously and to work in different time zones if required.