Etl Test Engineer
13 hours ago
Role Overview:
We are seeking an experienced ETL Test Lead with strong expertise in Quality Engineering and advanced AI/ML capabilities. The ideal candidate will lead testing strategies for complex data pipelines and AI-driven solutions, ensuring high-quality, scalable, and secure systems.
Key Responsibilities:
- Design and implement ETL testing strategies for AI/ML and GenAI-based solutions.
- Architect and develop scalable Python-based frameworks for automation and validation.
- Validate AI/ML pipelines including data preprocessing, model training, fine-tuning, and deployment.
- Implement and test RAG pipelines for knowledge management using vector databases, embeddings, and graph structures.
- Ensure quality engineering best practices across CI/CD, containerization, and cloud deployments (AWS).
- Collaborate with cross-functional teams to optimize performance and troubleshoot complex issues.
Required Skills:
- Python Expertise: FastAPI, Flask, async programming, RESTful APIs.
- AI/ML Experience: TensorFlow, PyTorch, Scikit-learn for model lifecycle management.
- GenAI Frameworks: LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock.
- RAG Pipelines: Hands-on with vector databases, embeddings, and graph-based architectures.
- Prompt Engineering: Optimization and fine-tuning techniques.
- Graph Databases: Neo4j or agent-based architectures.
- Strong grounding in Quality Engineering concepts and automation frameworks.
- Solid understanding of CI/CD, Docker/Kubernetes, and AWS deployment.
- Excellent debugging, performance optimization, and solutioning skills.
Nice to Have:
- Experience with Playwright/Selenium for test automation.
- Prior experience in product-based environments.
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