Particle41 - JD Edwards Data & ERP Consultant
Requirements
• 5+ years of hands-on JD Edwards experience (EnterpriseOne and/or World). Deep knowledge of the JDE data model and table structures is required for this role. • Strong SQL on Oracle, SQL Server, or DB2 / IBM i (AS400). • Data engineering experience: ETL/ELT development, pipeline design, and data modeling. • At least one full-cycle ERP implementation, upgrade, or migration where you owned data conversion or data migration work. • Working knowledge of core JDE modules: Financials, Distribution / Logistics, and Manufacturing. • Able to work full-time during US business hours. • Clear, confident written and spoken English. Comfortable working directly with client stakeholders. • Able to work as an independent contractor. • JDE technical tools: Orchestrator, Business Services (BSSV), UBEs / Report Design Aid, Table Conversion, and Form Design Aid. • Cloud data platforms: Snowflake, Azure Data Factory, Databricks, AWS (Glue, Redshift), or dbt. • BI tools: Power BI, Tableau, or OBIEE. • Python for data processing and automation. • Industry background in manufacturing, distribution, or automotive aftermarket. • Oracle JD Edwards certification. • Prior consulting or staff augmentation experience. • What Success Looks Like • First 30 days: You understand the client's JDE footprint, key tables, and current data flows. You deliver a first pipeline or dataset fix. • First 30 days: • First 90 days: The client team trusts your data. Reporting and conversion work runs on documented, repeatable pipelines. • First 90 days: • Ongoing: You are the go-to person for JDE data questions on the client team. • Ongoing: • Empowering, Leadership, Innovation, Teamwork, • Excellence • E - Empowering: Enabling individuals to reach their full potential. • L - Leadership: Taking initiative and guiding each other toward success. • I - Innovation: Embracing creativity and new ideas to stay ahead. • T - Teamwork: Collaborating with empathy to achieve common goals. • E - Excellence: Striving for the highest quality in everything we do.
Responsibilities
• Own JDE data work: Extract, model, and transform data from JD Edwards tables (Address Book, Item Master, Sales Order, General Ledger, and related files). • Build data pipelines: Design and maintain ETL/ELT flows from JDE into the client's data warehouse or reporting platform. • Support ERP implementation work: Lead data mapping, conversion, cleansing, and reconciliation for implementation, upgrade, or migration efforts. Support cutover planning and execution. • Enable reporting: Build clean, trusted datasets for BI dashboards and finance and operations reporting. • Protect data quality: Set up validation and reconciliation checks between JDE and downstream systems. Find and fix root causes. • Partner with the business: Work with finance, distribution, and manufacturing users to turn their questions into data requirements. • Document as you go: Keep data flows, mappings, and conversion rules clear and current for the client team.
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