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JD Edwards Data & ERP Consultant

Other Full-time Freelance Latin America

Job details

Not specified Salary
Latin America Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Own data engineering work for an enterprise resource planning environment built on JD Edwards. You will work closely with ERP, IT, finance, distribution, and manufacturing teams to build dependable data flows, support system changes, and make operational and financial data useful for reporting.

Responsibilities - Extract, model, and transform data from core JD Edwards areas such as address book, item, sales order, and general ledger tables. - Build and maintain ETL/ELT pipelines that move ERP data into a warehouse or reporting platform. - Lead data mapping, cleansing, conversion, and reconciliation for implementations, upgrades, or migrations, including cutover support. - Create trusted datasets for business intelligence, finance, and operations reporting. - Establish data validation and reconciliation checks, investigate discrepancies, and address their root causes. - Document data flows, mappings, and conversion rules, and translate business questions into data requirements.

Requirements - At least five years of hands-on JD Edwards experience with deep knowledge of its data model and table structures; EnterpriseOne or World experience is relevant. - Strong SQL skills with Oracle, SQL Server, or DB2/IBM i (AS400). - Experience designing data models and developing ETL/ELT pipelines. - Participation in at least one full-cycle ERP implementation, upgrade, or migration, with ownership of data conversion or migration work. - Working knowledge of JD Edwards Financials, Distribution/Logistics, and Manufacturing modules. - Clear spoken and written English, comfort working directly with client stakeholders, availability during US business hours, and ability to work as an independent contractor.

Nice to have Experience with JD Edwards technical tools such as Orchestrator, BSSV, UBEs, Table Conversion, or Form Design Aid; cloud data platforms such as Snowflake, Azure Data Factory, Databricks, AWS Glue or Redshift, or dbt; BI tools; Python; relevant industry experience; certification; or consulting and staff augmentation work.

Benefits and work setup This is a full-time client-team assignment for an independent contractor. The role is specifically open to candidates in the LATAM region and requires working US business hours.

Skills detected in the listing

PythonGoSQLSnowflakePower BITableaudbtData WarehousingData EngineeringStakeholder ManagementAWSAzure
Detected Nov 4, 2026
Last verified Not yet verified

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