QAD
QAD is a company specializing in enterprise resource planning and industrial transformation solutions. Their Adaptive Enterprise platform helps businesses optimize processes, align people with technology, and manage critical business challenges. QAD's offerings include software for manufacturing, inventory management, supply chain planning, quality management, and global trade compliance. Their solutions serve a range of industries, including automotive, consumer products, food and beverage, industrial manufacturing, and more. The company focuses on becoming an adaptive enterprise by integrating advanced scheduling and data-driven insights.
Enterprise Software • Enterprise Resource Planning • Cloud ERP • Manufacturing ERP • SaaS ERP
Senior Data Engineer
March 25
QAD
QAD is a company specializing in enterprise resource planning and industrial transformation solutions. Their Adaptive Enterprise platform helps businesses optimize processes, align people with technology, and manage critical business challenges. QAD's offerings include software for manufacturing, inventory management, supply chain planning, quality management, and global trade compliance. Their solutions serve a range of industries, including automotive, consumer products, food and beverage, industrial manufacturing, and more. The company focuses on becoming an adaptive enterprise by integrating advanced scheduling and data-driven insights.
Enterprise Software • Enterprise Resource Planning • Cloud ERP • Manufacturing ERP • SaaS ERP
📋 Description
• Enhance our B2B analytics platform by improving database schemas, data pipelines, and data structures in Snowflake. • Evaluate current solutions and implement strategic improvements across the entire data pipeline. • Analyze BI warehouse views and identify structural improvements at the source. • Collaborate with engineering teams to recommend beneficial changes for downstream BI products. • Optimize ETL/ELT pipelines for timely and reliable data synchronization. • Improve query performance and storage efficiency while controlling costs. • Enhance data quality monitoring and validation processes. • Work with product management to translate customer requirements into data solutions. • Guide team members and customers in creating effective reports using Power BI, Tableau, and Sigma. • Improve data lineage documentation and warehouse architecture. • Monitor and resolve pipeline issues to prevent service disruptions. • Implement improvements to multi-tenant data architecture for better data isolation and resource utilization.
🎯 Requirements
• 5+ years of experience as a Data Engineer. • Snowflake architecture expertise for multi-tenant B2B applications. • Performance optimization for customer-facing data models and analytics. • Advanced SQL skills for complex query optimization. • Proficiency in Python, Scala, or Go for data pipeline development. • Experience analyzing source data structures and recommending improvements. • Ability to collaborate with engineering teams on data design. • Experience with ETL/ELT pipelines (Airflow, dbt). • Integration experience with Power BI, Tableau, and Sigma. • Mentoring skills for report creation using BI tools. • Data quality management for customer-facing products. • Experience with GitHub/source control and CI/CD pipelines (GitHub Actions or Jenkins). • Understanding of multi-tenant data security and governance.
🏖️ Benefits
• Your health and well being are important to us at QAD. • We provide programs that help you strike a healthy work-life balance. • Opportunity to join a growing business, launching into its next phase of expansion and transformation. • Collaborative culture of smart and hard-working people who support one another to get the job done. • An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.
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