About The Position

Seeking a seasoned Senior Integration / Middleware Engineer to lead integration and data projects across retail e-commerce, OMS, POS, supply chain, SAP, and WMS systems. The role focuses on middleware development, enterprise integration, ETL, and data pipelines. The position is onsite in Jersey City, New Jersey; relocation is acceptable. The stated duration is 6+ months.

Requirements

  • 8–10+ years of enterprise integration experience.
  • Hands-on expertise in IBM ACE/IIB, DataPower, and API Connect for middleware development.
  • Strong experience with SAP PI/PO for enterprise integration.
  • Experience with IBM MQ for messaging and queue management.
  • Strong ETL expertise with Informatica PowerCenter, IICS, or similar tools.
  • Experience integrating retail e-commerce OMS processes, including orders, inventory, shipping, returns, and payments.
  • In-depth knowledge of APIs, SOAP/REST, XML, JSON, and XSLT.
  • Ability to develop batch and near-real-time data pipelines for orders, inventory, pricing, and promotions.
  • Ability to troubleshoot cross-system issues and resolve recurring production challenges.
  • Experience with monitoring, alerting, and automation in integration operations.
  • Strong knowledge of data quality, governance, and ETL standards.
  • Excellent problem-solving and communication skills.

Nice To Haves

  • Experience with high-volume retail data and transaction processing.
  • Familiarity with carrier and payment integrations.
  • Knowledge of AI/GenAI concepts in an integration context.
  • Agile delivery background.
  • Experience across e-commerce, POS, WMS, and supply chain systems.

Responsibilities

  • Lead integration and data projects across retail e-commerce, OMS, POS, supply chain, SAP, and WMS systems.
  • Develop middleware solutions using IBM ACE/IIB, DataPower, and API Connect.
  • Support enterprise integration using SAP PI/PO and IBM MQ.
  • Build batch and near-real-time data pipelines for orders, inventory, pricing, and promotions.
  • Troubleshoot cross-system issues and resolve recurring production challenges.
  • Support monitoring, alerting, and automation in integration operations.
  • Apply data quality, governance, and ETL standards.
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