Data Engineer

Data EngineerRequired Skills & Experience- 5+ years of experience in data engineering, analytics engineering, or data integration roles.Strong SQL and PL/SQL experience.Working knowledge of data warehousing concepts and data modeling.Experience developing ETL/ELT processes and integrations.Understanding of data governance, MDM, data quality, security, stewardship, and ownership concepts.Experience supporting business analytics and reporting solutions.Experience working with WMS platforms such as Manhattan, JDA, or Blue Yonder.Nice to Have Skills & Experience- Python development experience. Supply chain, logistics, manufacturing, or distribution experience.Familiarity with warehouse management processes including receiving, put-away, pick, pack, and ship.Exposure to Oracle Cloud Infrastructure, Oracle databases, and Power BI.Job DescriptionWe are seeking Data Engineers to join a core development team supporting a large-scale enterprise data modernization initiative. These individuals will be responsible for designing, building, and maintaining data pipelines, integrations, and analytics solutions that enable business stakeholders to access trusted, high-quality data.The ideal candidate has strong foundational data engineering skills, understands supply chain business processes, and can quickly adapt to evolving technologies and platforms.Key ResponsibilitiesDevelop and maintain scalable data pipelines and integration solutions.Build and optimize ETL/ELT processes supporting enterprise analytics.Transform, validate, and manage data from operational systems and warehouse environments.Collaborate with architects and technical leads to implement future-state data solutions.Support data governance, master data management, ownership, stewardship, security, and data quality initiatives.Contribute to data modeling, performance optimization, and analytics enablement efforts.Assist with reporting and visualization requirements supporting business operations.