QA Data Engineer

Job Description Primary Responsibilities • Collaborate with Data Engineers, Analysts, and business stakeholders to define quality requirements. • Develop and implement test cases for ETL/ELT pipelines, data transformation, and ingestion processes. • Perform data validation, manual or automated testing, and regression testing to ensure high-quality data. • Monitor and troubleshoot data issues across the pipeline, resolving data anomalies. • Validate data transformations and ingestion for both structured and unstructured data. • Conduct root cause analysis for data-related defects and collaborate on resolutions. • Document and track defects, providing detailed reports for development teams. • Create and maintain automated testing scripts to improve testing efficiency. • Perform post-release validation to ensure software performance in production environments. • Continuously evaluate the quality of deliverables and provide improvement feedback. • Work with end users to gather feedback and improve quality. Qualifications & SkillsRequired • 3-5+ years of experience in data engineering, data testing, or quality assurance. • Strong proficiency in advanced SQL and data validation frameworks. • Familiarity with GCP data services (BigQuery, Dataflow, Dataproc, Cloud Storage). • Experience with automated testing frameworks (e.g., Great Expectations, dbt tests). • Hands-on experience creating test cases for data requirements. • Experience working with and integrating retail data. Preferred • Understanding of ETL/ELT processes, data modeling, and schema design. • Familiarity with business processes and data concepts like storage, retrieval, and analysis. • Experience with Python and scripting for automated testing.