Manual Data Quality Engineer

At Aristocrat, we believe in the power of play to bring happiness and enthusiasm to millions around the world. As a QA Data professional, you will be a part of our dynamic team, ensuring the integrity and accuracy of our data products. This role is critical in maintaining the trustworthiness of our data transmission, visual displays, and analytical offerings. Join us in a collaborative environment where outstanding performance is celebrated, and your contributions have a direct impact on our gaming experiences!

What You'll Do

• Execute manual testing of data pipelines, dashboards, and SQL queries for validation 

• Design and maintain automated test cases for data pipeline validation using SQL and Python 

• Test data transformations from ingestion through model layers (dbt, Snowflake) 

• Collaborate with data engineers and analysts to define test plans and acceptance criteria 

• Contribute to test documentation and QA processes 

• Identify and report data issues, anomalies, and inconsistencies proactively 

• Work within Agile sprints and participate in story grooming and retrospectives 

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Tech Stack 

• SQL, Python (for test scripting), dbt, Snowflake, Power BI (read/test level), JIRA, Xray 

• Airflow (read/debug level), Git-based workflows 

• Familiarity with test case management tools or BDD frameworks

What We're Looking For

• 2+ years of experience in QA with a strong background in manual testing.

• At least 1+ years working on data-centric or analytics projects.

• Proficiency in SQL for querying and validating large datasets.

• Exposure to Python or similar languages for test automation is a plus.

• Experience validating ETL/ELT workflows or dashboards.

• Exceptional attention to detail with outstanding analytical and problem-solving capabilities.

• Ease in a cooperative, Agile setting

Join Aristocrat and be part of a world-class organization where your skills will be challenged and valued. We are looking for ambitious individuals ready to compete and excel in a fast-paced environment. Apply now and help us deliver flawless data experiences!