Data Pipeline Quality Assurance Specialist

5 days ago

anand, India beBeeDataValidator Full time

As a crucial aspect of data pipelines, ensuring accuracy and integrity is vital. In this role, you will be responsible for comprehensive testing support encompassing unit testing, integration testing, system testing, and User Acceptance Testing (UAT) for data pipelines and the overall product.Develop and execute test plans and scripts for data ingestion, dbt transformation models, and system functionality, thereby contributing to the delivery of high-quality solutions.Promote data quality by creating automated and manual tests ensuring data completeness, correctness, and precision across Snowflake environments.Validate model integrity and precision through rigorous testing methods.Collaborate with product owners, data engineers, and business users to define acceptance criteria and coordinate UAT efforts.Integrate testing within CI/CD pipelines and orchestrations via Dagster, thereby enhancing the efficiency of the development process.Manage defect tracking, error logging, and reporting frameworks to ensure seamless issue resolution.Establish test environments and prepare data for validation scenarios, thus facilitating effective testing.Provide recommendations to enhance product quality and testing processes, driving continuous improvement.This role requires expertise in multiple testing types, including unit, integration, system, and UAT. Data validation skills are essential, particularly in cloud data warehouse contexts. Proficiency in SQL and Python for test scripting and automation is also required. Familiarity with DBT test frameworks and CI/CD pipelines, as well as orchestration tools like Dagster, is necessary. Strong analytical and communication skills are crucial for cross-team collaboration. Additionally, knowledge of testing best practices, test automation standards, and quality assurance methodologies is essential.

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