QA Analyst responsible for validating software quality at Toon Boom, leading end - to - end testing and troubleshooting for high - performance applications.
About the role
- Data Platform QA Engineer ensuring quality, reliability, and integrity for Tecsys's cloud-based data platform built on Databricks and AWS. Collaborating closely with Data Platform Developers and Product Owners in Agile environments.
Responsibilities
- Design and develop automated tests for Databricks data pipelines and transformations.
- Validate end-to-end data movement across Bronze, Silver, and Gold data layers.
- Create SQL and Python-based validation scripts to verify data quality and business rules.
- Build and maintain automated regression test suites for data pipelines.
- Integrate automated testing into CI/CD pipelines.
- Implement data observability checks, including schema validation, data freshness, volume monitoring, and anomaly detection.
- Investigate data quality issues, perform root cause analysis, and support production releases.
- Collaborate with Data Platform Developers, Product Owners, and business stakeholders in an Agile environment to ensure high-quality data products.
Requirements
- Hands-on experience with Databricks (mandatory).
- Experience testing data platforms, ETL/ELT pipelines, data lakes, or data warehouses.
- Strong SQL skills for data validation, analysis, and troubleshooting.
- Experience developing test automation using Python.
- Experience with test automation frameworks and CI/CD pipelines.
- Understanding of data quality, business rule validation, and data observability concepts.
- Experience working in Agile teams alongside Data Platform Developers and Product Owners.
- Strong analytical, problem-solving, and communication skills.
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