QA Data Lead Tester

Job Description:

Job Summary:

We are looking for a QA Data Lead Tester to lead testing efforts across data-centric projects including data pipelines data migration reporting analytics and data governance initiatives. This role involves designing and executing comprehensive test strategies leading data testing teams and ensuring data quality integrity and compliance with business requirements.

Key Responsibilities:

• Lead QA activities across data projects including test planning execution defect management and reporting.
• Develop and implement test strategies for ETL processes data pipelines data warehousing data lakes and business intelligence systems.
• Design and maintain test plans test cases and test scripts focused on data quality accuracy completeness transformation logic and performance.
• Perform data validation and reconciliation between source and target systems using SQL and other query languages.
• Collaborate closely with business analysts data engineers and developers to understand data flows and define test requirements.
• Oversee data migration testing and regression testing efforts to ensure consistency and accuracy in large-scale datasets.
• Define and enforce data testing best practices standards and methodologies.
• Manage and mentor a team of data testers; assign tasks review work and support their professional development.
• Identify data quality issues and coordinate with the data engineering team for resolution.
• Track and report test progress risks and issues to stakeholders.
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.

Required Skills and Qualifications:

• Bachelors degree in Computer Science Information Systems or a related field.
• Strong experience in software quality assurance with a minimum of 3 years leading QA in data-focused projects.
• Strong expertise in SQL for data validation profiling and reconciliation.
• Experience with ETL tools (e.g. Informatica Talend DataStage) and modern data platforms (e.g. Snowflake Azure Synapse BigQuery).
• Solid understanding of data warehouses data lakes and data pipeline architectures.
• Familiarity with data visualization/reporting tools like Power BI Tableau or Qlik for dashboard testing.
• Experience with test management tools such as JIRA Zephyr TestRail or Azure DevOps.
• Knowledge of test automation frameworks is a plus (e.g. PyTest dbFit Selenium with SQL).
• Strong leadership communication and stakeholder management skills.

Preferred Qualifications:

• Experience in testing cloud-based data platforms (e.g. Azure AWS GCP).
• Exposure to data governance data cataloging and data lineage tools (e.g. Collibra Alation Purview).
• Certification in ISTQB or equivalent QA certifications.
• Experience working in Agile/Scrum environments with CI/CD pipelines.

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