QA Engineer

Largeton Group • Full-time • Coppell, TX, US • 4m ago

Job Summary (QA Engineer – Dave & Buster’s, Coppell, TX):

Conduct validation of data ingestion, transformation, and ETL/ELT processes built on Databricks.
Design and execute test cases to ensure data accuracy, completeness, and lineage across medallion layers (Bronze, Silver, Gold).
Monitor and troubleshoot data pipeline executions, identifying data drift, schema changes, or transformation issues.
Test and validate semantic data models supporting BI tools (Power BI, Tableau) for alignment with business definitions.
Validate accuracy of measures, KPIs, and calculated fields within reporting layers.
Perform end-to-end testing from source data to enterprise reports, ensuring consistent business logic.
Ensure metadata management processes align with enterprise data catalog or governance standards.
Implement and maintain automated data quality checks for completeness, validity, consistency, and timeliness.
Develop, maintain, and integrate automated testing frameworks (using Python, PySpark, Databricks notebooks) into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
Build and reuse data validation scripts for Databricks and other data testing tools.
Collaborate with data engineers, modelers, BI developers, and governance teams to define and uphold testing standards.
Participate in code and data quality reviews to ensure QA standards compliance.
Document test cases, test results, and maintain traceability between business requirements and validation outcomes.
Utilize strong expertise in Databricks, Spark, SQL, cloud platforms (Azure/AWS/GCP), and data modeling.
Apply analytical and problem-solving skills to optimize data engineering solutions.
Mentor junior team members and contribute to technical leadership as needed.
Preference given to candidates with experience in the restaurant/gaming industry, and scripting/programming skills (Python).

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