Data Engineer - Remote

Overview

As a Data Engineer at QAD Inc., you will be responsible for designing, industrializing, and optimizing inter-application data pipelines in a data-driven and AI-oriented environment.

In Short

• Design and maintain scalable data pipelines.
• Structure, transform, and optimize data in Snowflake.
• Implement multi-source ETL/ELT flows (ERP, APIs, files).
• Leverage the AWS environment, including S3, IAM, and various data services.
• Prepare data for Data Science teams and integrate AI/ML models into production.
• Ensure data quality, security, and governance.
• Provide input on data architecture.

Requirements

• 5+ years of experience in data engineering, including significant experience in a cloud environment.
• Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security.
• AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda.
• Languages: Advanced SQL and Python for data manipulation, automation, and ML integration.
• Data Engineering: Proven experience in ETL/ELT pipeline design.
• AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real-time).

Benefits

• Work in a fully remote environment.
• Opportunity to work with cutting-edge technologies in a multidisciplinary team.
• Contribute to solving real-world problems in manufacturing and supply chains.
• Engage in a culture that values diversity, equity, and inclusion.
• Professional development opportunities.