Data Engineer – Supply Chain Applications & Integrations

Data Engineer – Supply Chain Applications & IntegrationsAzure Data Engineer will design, build, support, and maintain data pipelines and application integrations across Azure, ERP, supply chain, and reporting platforms. This role requires hands-on experience with Azure Databricks, Azure Data Factory, SQL, Python, SSIS, and enterprise data integration. The ideal candidate can troubleshoot production issues, analyze data flows, support business-critical integrations, and work closely with business users, ERP teams, BI teams, and application support teams.Key Responsibilities:Build and maintain data pipelines using Azure Databricks, Azure Data Factory, SQL, Python, and related Azure services.Support ETL/ELT solutions built using SSIS that integrate ERP systems, business applications, external sources, and cloud , troubleshoot, and resolve data pipeline, interface, batch job, and data quality issues.Support integrations across ERP, planning, inventory, procurement, operational, and reporting systems.Perform impact analysis when source tables, fields, APIs, interfaces, or data structures change.Maintain and support SSIS packages and assist with modernization to Azure-based with business and technical teams to understand issues, define requirements, document mappings, and support enhancements.Required Skills:Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field.Hands-on experience with Azure Databricks, Azure Data Factory, SSIS, SQL, and PythonExperience supporting ETL/ELT processes, enterprise integrations, production applications, and mission-critical data processes.Strong troubleshooting, analytical, communication, collaboration, and documentation skills.