In a data-driven and AI-oriented environment you will be responsible for the design industrialization and optimization of inter-application data pipelines. You will be involved in the entire data chain from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining Real Time Monitoring and Predictive AI
Key responsibilities:
- 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.
Qualifications :
- 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).
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.
Additional Information :
About QAD:
QAD Redzone is redefining manufacturing and supply chains through its intelligent adaptive platform that connects people processes and data into a single System of Action. With three core pillars Redzone (frontline empowerment) Adaptive Applications (the intelligent backbone) and Champion AI (Agentic AI for manufacturing) QAD Redzone helps manufacturers operate with Champion Pace achieving measurable productivity resilience and growth in just 90 days.
QAD is committed to ensuring that every employee feels they work in an environment that values their contributions respects their unique perspectives and provides opportunities for growth regardless of background. QADs DEI program is driving higher levels of diversity equity and inclusion so that employees can bring their whole self to work.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race color sex age national origin religion sexual orientation gender identity status as a veteran and basis of disability or any other federal state or local protected class.
#LI-Remote
Remote Work :
Yes
Employment Type :
Full-time
In a data-driven and AI-oriented environment you will be responsible for the design industrialization and optimization of inter-application data pipelines. You will be involved in the entire data chain from data ingestion to its use by data science teams and AI systems in production within a human-s...
In a data-driven and AI-oriented environment you will be responsible for the design industrialization and optimization of inter-application data pipelines. You will be involved in the entire data chain from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining Real Time Monitoring and Predictive AI
Key responsibilities:
- 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.
Qualifications :
- 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).
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.
Additional Information :
About QAD:
QAD Redzone is redefining manufacturing and supply chains through its intelligent adaptive platform that connects people processes and data into a single System of Action. With three core pillars Redzone (frontline empowerment) Adaptive Applications (the intelligent backbone) and Champion AI (Agentic AI for manufacturing) QAD Redzone helps manufacturers operate with Champion Pace achieving measurable productivity resilience and growth in just 90 days.
QAD is committed to ensuring that every employee feels they work in an environment that values their contributions respects their unique perspectives and provides opportunities for growth regardless of background. QADs DEI program is driving higher levels of diversity equity and inclusion so that employees can bring their whole self to work.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race color sex age national origin religion sexual orientation gender identity status as a veteran and basis of disability or any other federal state or local protected class.
#LI-Remote
Remote Work :
Yes
Employment Type :
Full-time
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