Design, develop, and maintain ingestion and transformation pipelines using Azure Data Factory and MuleSoft, ensuring interoperability across SAP B1, WMS, Salesforce, Tableau, and ecommerce integrations
Design, develop, and maintain ingestion and transformation pipelines using Azure Data Factory and MuleSoft, ensuring interoperability across SAP B1, WMS, Salesforce, Tableau, and ecommerce integrations
Manage and support database instances across environments under guidance
Write, test, and optimize SQL queries for reporting and integration tasks
Maintain data quality and apply basic governance practices
Support BI reporting needs (Tableau, SSRS, Crystal Reports) and ensure data delivery accuracy
Collaborate with business teams to monitor performance and troubleshoot data issues; document data flows and processes
Requirements
Bachelor's degree in Information Systems, Computer Science, Engineering or related field, or equivalent experience
1–2 years in data engineering, data analysis, or DBA work
Foundational SQL and relational database knowledge
Hands-on MuleSoft experience (integration, APIs, data flows)
Familiarity with data warehousing concepts and ETL
Exposure to Azure, AWS, or other cloud platforms
Eagerness to learn and adapt under mentorship; strong communication
Salary
Salary + bonus
Benefits
Equal Opportunity Employer; diverse workplace
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Based on: Data Engineer I
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