Manager

Play a role of Data Architect, designs and manages centralized, end-to-end data architecture solutions. A senior data engineer should be responsible for design and implementation of scalable, audit-focused data integration solutions by leveraging JD Edwards ERP, cloud-based ETL tools like Informatica Cloud and Azure Data Factory, and collaborating with global teams to deliver secure, high-performance financial data workflows.

Requirements

• Development of data transformations using Azure Databricks, Azure Data Factory, or Python
• Design and implementation of integrations between JDE and external systems
• Proficient in Azure Cloud technologies in performing data extraction, transformation and loading (ETL)
• 6+ years of total IT Experience in ETL, Databricks and Microsoft Azure
• Strong expertise in ERP systems, including their implementation and design principles
• Familiarity with JDE modules such as Finance, Distribution, Manufacturing, or HR

Benefits

• Paid time off
• Health insurance
• Retirement plan
• Flexible work arrangements
• Opportunities for professional growth and development