Lead QA Engineer ETL & Data Warehouse Testing (Azure)

As a Lead QA Engineer specializing in ETL & Data Warehouse Testing on Azure, your role will involve leading QA initiatives for complex data pipelines to ensure high-quality data delivery for analytics and reporting solutions. Key Responsibilities: - Lead QA strategy for ETL and Data Warehouse testing specifically on Azure platform - Design and execute test cases for data ingestion, transformation, and storage processes - Perform functional, integration, and regression testing to ensure data quality - Validate data accuracy and reconciliation using advanced SQL queries - Implement automated data testing utilizing Python and PySpark - Conduct hands-on testing for pipelines developed on Azure Databricks - Collaborate with cross-functional teams comprising data engineers and product owners - Manage defects, test execution, and reporting activities effectively - Drive continuous improvement in QA processes and automation techniques - Provide mentoring and technical guidance to other QA team members Qualifications Required: - ETL & Data Warehouse Testing experience - Proficiency in Functional Testing - Hands-on experience with Azure Databricks - Strong command of SQL - Advanced skills in Python and PySpark - At least 8-12 years of experience in QA/Data Testing - Minimum 3 years of experience in a Lead QA role You should have a Bachelor's degree in computer science, Software Engineering, MIS, or a related field, or an equivalent combination of education and experience. Additional Company Details: Not available in the provided job description. As a Lead QA Engineer specializing in ETL & Data Warehouse Testing on Azure, your role will involve leading QA initiatives for complex data pipelines to ensure high-quality data delivery for analytics and reporting solutions. Key Responsibilities: - Lead QA strategy for ETL and Data Warehouse testing specifically on Azure platform - Design and execute test cases for data ingestion, transformation, and storage processes - Perform functional, integration, and regression testing to ensure data quality - Validate data accuracy and reconciliation using advanced SQL queries - Implement automated data testing utilizing Python and PySpark - Conduct hands-on testing for pipelines developed on Azure Databricks - Collaborate with cross-functional teams comprising data engineers and product owners - Manage defects, test execution, and reporting activities effectively - Drive continuous improvement in QA processes and automation techniques - Provide mentoring and technical guidance to other QA team members Qualifications Required: - ETL & Data Warehouse Testing experience - Proficiency in Functional Testing - Hands-on experience with Azure Databricks - Strong command of SQL - Advanced skills in Python and PySpark - At least 8-12 years of experience in QA/Data Testing - Minimum 3 years of experience in a Lead QA role You should have a Bachelor's degree in computer science, Software Engineering, MIS, or a related field, or an equivalent combination of education and experience. Additional Company Details: Not available in the provided job description.