Interview Type: Face 2 Face (Onsite Interview Only)
Job Description
- Design, build, and maintain comprehensive automated testing frameworks and analytical monitoring solutions for data pipelines and ETL processes.
- Develop and deploy data quality validation frameworks that prevent data issues before they impact downstream systems.
- Perform in-depth data analysis to identify quality issues, anomalies, and optimization opportunities in data pipelines.
- Develop analytical dashboards and reports for monitoring data quality metrics and pipeline performance.
- Mentor and guide junior and mid-level engineers on QE principles, automation techniques, analytics, and testing strategies.
- Build and optimize CI/CD pipelines for continuous data validation, testing, and deployment.
- Collaborate with business stakeholders, data analysts, and platform teams to define, implement, and enforce data quality standards.
- Troubleshoot, diagnose, and optimize data processes with a focus on quality assurance, reliability, and performance.
- Conduct code reviews and automated testing audits to ensure quality standards are met.
- Document automation frameworks, testing strategies, analytics methodologies, and QE processes for team knowledge sharing.
- Participate in architectural decisions that prioritize data quality, automation capabilities, and analytical insights.
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📌 QE Engineer (Toronto)
🏢 Aarorn Technologies
📍 Toronto
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