Accenture – Quality Engineer (Tester)

Job Description

We are looking for a skilled QA Engineer with strong experience in automation testing using Pytest, ETL validation, and SQL for our modern data warehouse platform built on Azure and Databricks. The candidate will be responsible for ensuring data accuracy, quality, and stability across data pipelines and reports through automated and manual testing techniques. Key Responsibilities: • Design and implement test automation frameworks using Pytest for validating ETL pipelines and data quality. • Perform ETL testing, including source-to-target validation, transformation logic checks, and full-load/incremental load testing. • Write and optimize complex SQL queries for data validation, reconciliation, and defect identification.

• Perform regression testing to ensure pipeline and platform stability with evolving changes. • Conduct data reconciliation between source systems and the target data warehouse to ensure completeness and accuracy. • Work closely with data engineers, product owners, and business users to understand requirements and translate them into test cases. • Track and document defects, test results, and quality metrics in a structured and timely manner. • Collaborate in an Agile/Scrum environment and participate in daily stand-ups, sprint planning, and retrospectives. Must-Have Skills: • 5+ years of experience in Quality Assurance / Software Testing roles • Mandatory Hands-on experience with Pytest or similar Python-based test automation frameworks • Strong expertise in ETL testing and Data Warehouse testing.