Data Engineer

JD

• Deep expertise in end to end eCommerce sales operations
  , covering digital marketplaces, direct to consumer channels, and retail execution workflows.
• Strong understanding of digital sales funnels
  , customer journey analytics, and conversion rate optimization (CRO) best practices.
• Hands-on experience with SQL, Snowflake, DBT, AWS, and Power BI.
• Experience supporting and enhancing omnichannel capabilities
  , ensuring seamless alignment across web, mobile, store, and fulfillment ecosystems.
• Hands on experience with systems integration
  , including API development/consumption, middleware workflows, EDI processes, and cross platform data mapping.
• Strong technical understanding of Order Management Systems (OMS), CRM tools, inventory management systems, and ERP integrations within retail and eCommerce environments.
• Proficiency in SQL for data extraction, validation, reconciliation, and sales or operational performance analysis.
• Advanced Microsoft Excel capabilities, including Pivot Tables, advanced formulas, Power Query, and financial/operational modeling.
• Knowledge of Power BI
  , with some hands on development experience considered a strong plus..
• Strong command of core digital commerce KPIs
  , with the ability to translate business metrics and trends into actionable technical insights and data-driven recommendations.
• Proven experience performing detailed data validation
  , dataset reconciliation, and ensuring reporting accuracy across large-scale datasets.
• Familiarity with cloud-native retail architectures and modern API-driven digital ecosystems used in enterprise commerce.
• Experience working with major retail and syndicated datasets including Nielsen
  , IRI
  , and E2
  
  Open
  , with the ability to interpret, validate, cleanse, and leverage these datasets for business insights and operational alignment.