Data Quality Specialist

2 weeks ago

alwar, India beBeeDataQuality Full time

Job DescriptionWe are seeking a skilled professional to lead our data quality initiatives, focusing on comprehensive testing support for data pipelines and overall product.This role will involve design, implementation, and execution of test plans and scripts for data ingestion, dbt transformation models, and system functionality. You will ensure data quality, completeness, and correctness across Snowflake environments through automated and manual tests.You will validate model integrity and precision while collaborating with cross-functional teams to define acceptance criteria and coordinate User Acceptance Testing (UAT). Additionally, you will integrate testing within CI/CD pipelines and orchestrations via Dagster and manage defect tracking, error logging, and reporting frameworks.Your expertise in setting up test environments and preparing data for validation scenarios will be crucial in providing recommendations to improve product quality and testing processes.Data Ingestion and Pipeline Testing: Design and implement test plans and scripts to ensure data accuracy and completeness.Test Automation: Develop automated tests to verify data quality, completeness, and correctness.User Acceptance Testing (UAT): Collaborate with stakeholders to define acceptance criteria and conduct UAT.Cross-Functional Collaboration: Work closely with product owners, data engineers, and business users to ensure alignment and effective communication.Required Skills and QualificationsTo succeed in this role, you should have:Strong understanding of data quality principles and best practices.Proficiency in testing frameworks such as Pytest or Unittest.Experience with data integration tools like dbt.Knowledge of CI/CD pipelines and containerization using Docker.Excellent problem-solving skills and attention to detail.Effective communication and collaboration skills.BenefitsWe offer a competitive salary, comprehensive benefits package, and opportunities for growth and development in a dynamic and innovative environment.Why Choose Us?At [Company Name], we value innovation, collaboration, and continuous learning. We believe in fostering a culture that encourages creativity, diversity, and inclusivity. If you're passionate about data quality and excited about the prospect of working with a talented team, we'd love to hear from you

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