Our client is the leading retail chain in Uzbekistan, with about a million regular customers and more than 125 stores in 11 regions. The company operates supermarkets, neighborhood stores, convenience stores, a wholesale store, and an online supermarket. The client also runs two warehouses (dry and temperature-controlled) and a fruits/vegetables hub.

REQUIREMENTS:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Proven experience (5+ years) as a QA Engineer with a strong focus on manual testing.
• Solid understanding of the software development lifecycle (SDLC) and QA methodologies.
• Strong experience with issue-tracking tools such as Jira, Bugzilla, or similar.
• Excellent analytical and problem-solving skills.
• Detail-oriented with strong organizational and documentation skills.
• Ability to work effectively within an Agile/Scrum environment.
• Excellent verbal and written communication skills in English.
• Ability to collaborate effectively with cross-functional teams and stakeholders.
• Knowledge of data quality frameworks, data profiling, data validation, and data cleansing techniques
• Familiarity with data governance principles and best practices.
• Experience in developing and executing test plans, test cases, and test scripts specific to data quality assurance.
• Understanding of database systems and ETL (Extract, Transform, Load) processes.
• Proficiency in working with relational databases (SQL, MySQL, PostgreSQL, etc.)
• Ability to create comprehensive documentation of data quality processes, standards, and issues.

• Developed and executed detailed test plans, test cases, and test scripts for various components of the Data Warehouse, BI platform, and integrated systems.
• Establish, enforce, and improve data quality standards and guidelines to ensure compliance and consistency across datasets.
• Collaborate with Data Engineers, DevOps, and business teams to understand the system requirements and business needs.
• Verify the accuracy, consistency, and completeness of data by performing data validation and integrity checks. Identify and rectify discrepancies or anomalies.
• Design and document test cases and test scenarios tailored for data validation, ETL processes, data migration, and other data-related workflows.
• Verify the accuracy, consistency, and completeness of data by performing data validation and integrity checks. Identify and rectify discrepancies or anomalies.
• Analyze data profiles to understand data structures, patterns, and anomalies for effective quality assessment.
• Perform various types of testing, including functional testing, regression testing, integration testing, and performance testing, on data pipelines, ETL workflows, and data transformations.
• Investigate and perform root cause analysis of data-related issues, collaborating with relevant teams to determine underlying causes and implement effective solutions.
• Stay updated with the latest trends, tools, and best practices in test automation and quality assurance.
• Suggest and implement improvements to the QA process and methodologies.
• Provide clear and concise test summary reports to stakeholders.
• Participate in requirement and design review meetings to give feedback from a QA perspective.
• Mentor junior QA engineers and provide guidance on testing best practices.