ETL QA LEAD

Experience :6 + Years

We are looking for a highly skilled and detail-oriented ETL QA Tester with strong experience in Azure Data Platforms to lead testing efforts for data integration, migration, and transformation projects. The candidate will be responsible for ensuring the quality, accuracy, and consistency of data across various systems while collaborating closely with cross-functional teams to deliver robust data solutions.

Roles and Responsibilities:

Lead and manage the QA process for ETL and data warehouse projects.

Design, document, and execute comprehensive test strategies, test plans, and test cases for ETL workflows.

Perform detailed data validation, data reconciliation, and transformation testing across multiple data sources.

Validate data pipelines developed using Azure Data Factory (ADF), Databricks, and Synapse Analytics.

Collaborate with Data Engineers, Developers, and Business Analysts to identify, troubleshoot, and resolve data quality issues.

Conduct functional, regression, and performance testing for ETL processes.

Ensure adherence to QA best practices, test automation standards, and defect management processes.

Develop and maintain automated data validation scripts using SQL, Python, or similar tools.

Prepare detailed test reports, defect logs, and QA metrics for project stakeholders.

Provide technical guidance and mentorship to junior QA team members.

Technical Skills Required:

Strong experience in ETL Testing and Data Warehouse Testing.

Hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake.

Expertise in SQL for complex data validation and data profiling.

Working knowledge of ETL tools such as Informatica, SSIS, or Talend.

Familiarity with data testing automation frameworks and scripting languages (Python preferred).

Exposure to CI/CD pipelines and version control systems (Azure DevOps, Git, Jenkins).

Good understanding of data modeling concepts, data governance, and data quality frameworks.

Educational Qualification:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related discipline.

Preferred Experience:

Minimum 2 years of experience in a lead or senior QA role.

Experience working in cloud-based data ecosystems (Azure).

Strong analytical, problem-solving, and communication skills.

Ability to work effectively in agile and cross-functional environments.

Key Competencies:

Leadership and team coordination skills

Strong attention to detail and quality assurance mindset

Excellent written and verbal communication

Ability to handle multiple priorities and meet deadlines

Why Join Us:

Opportunity to work on cutting-edge Azure-based data projects

Collaborative and growth-oriented work environment

Competitive compensation and benefits

Continuous learning and professional development opportunities