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 & Skills

Required

• 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.

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