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.
About the role
- Principal QA Developer at Autodesk responsible for quality strategy and automation systems in analytics. Collaborating to ensure analytics reporting and SSR pipelines are stable and accurate.
Responsibilities
- Define and execute the analytics quality strategy across client reporting, SSR pipelines, and downstream consumption
- Build automated test frameworks that detect analytics/reporting failures early (PR/CI)
- Create end-to-end test plans covering ingestion → validation → enrichment → warehouse publication → dashboard/BI outputs
- Develop reusable test harnesses, test data, and validation utilities; integrate results into developer workflows
- Partner with engineering to define “definition of done” for analytics features
- Triage pipeline/data quality issues, analyze root causes, and drive corrective actions
Requirements
- 8+ years in QA/SDET roles with substantial automation responsibility
- Strong programming/scripting skills (e.g., Python/Java/TypeScript)
- Experience testing distributed systems, pipelines, or data-driven products end-to-end
- Ability to design test strategies, define coverage, and build scalable automation
- Strong debugging, root-cause analysis, and communication skills
Benefits
- Comprehensive benefits package
- Annual cash bonuses
- Stock grants
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