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:
- Bachelor’s 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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