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Key Responsibilities:
- Design and maintain scalable data pipelines.
- Structure, transform, and optimize data in Snowflake.
- Implement multi-source ETL/ELT flows (ERP, APIs, files).
Qualifications:
- 5+ years of experience in data engineering, including significant experience in a cloud environment.
- Advanced SQL and Python for data manipulation, automation, and ML integration.
- Proven experience in ETL/ELT pipeline design.
Nice to Have:
- Experience with agentic AI architectures, including agent orchestration and decision loops.
- Integration of agent-driven AI models into existing data pipelines.
- Knowledge of modern architectures such as Lakehouse or Data Mesh.
QAD Inc.
QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. They help customers in various industries rapidly adapt to change and innovate for competitive advantage.