Technical Lead - QA Engineer – Master Data Management (MDM)

At Aristocrat, we aim to bring happiness through play. Seeking a dedicated Technical Lead - Database QA to join our Global BI team. Critical role in maintaining data system performance.

As a Technical Lead - Database QA, you will have a meaningful role in our mission by spearheading the quality assurance efforts for our data management processes. You will collaborate closely with a team of data stewards, architects, and analysts to ensure the integrity and accuracy of our data. This is an exciting and groundbreaking opportunity to be at the forefront of data quality assurance, using brand new technologies to deliver flawless solutions.

What You'll Do : -

Conduct comprehensive analysis and profiling of master data sets to identify inconsistencies, inaccuracies, and anomalies.

Collaborate with data stewards, data architects, and business analysts to define and understand Master Data Management (MDM) requirements.

Lead the design and execution of test strategies for Extract Transform Load (ETL) pipelines, data transformations, and BI dashboards.

Analyze large data sets and identify data quality issues.

Conduct both manual and automated testing for data ingestion pipelines, data transformations, and business reports.

Validate Power BI dashboards and reports for data correctness, layout integrity, and performance.

Automate data validations using SQL and Python, employing tools such as PyTest, dbt tests, or custom scripts.

Perform cross-system data comparisons to ensure consistency across data layers and reports.

Maintain test documentation, including test plans, cases, and defect logs using tools like Jira.

Participate in agile sprints, release planning, and code reviews to embed QA early in the cycle.

What We're Looking For : -

6+ years in QA roles with a focus on Master Data Management.

Proven experience in crafting and developing detailed test plans and test cases, conducting functional, non-functional, and regression testing to ensure data quality.

Proficiency in SQL for querying and validating large datasets.

Experience testing BI reports and dashboards using tools like Power BI, Tableau, or Looker.

Experience with test automation frameworks such as PyTest, Selenium, and dbt tests.

Familiarity with ETL tools, Airflow, and data warehouses like Snowflake or BigQuery.

Experience with version control systems like Git, CI / CD pipelines, and issue tracking tools such as Jira.

Join our team and help us deliver outstanding performance and happiness to millions of users worldwide!