Lead the architecture and development of complex data integration solutions using Microsoft Fabric
Design bidirectional data flows between Fabric and manufacturing systems (Infor M3, Salesforce, Anaplan, OPLIT)
Build advanced ETL pipelines that can handle diverse business data patterns, with preference for manufacturing operations data
Implement real-time and batch processing for enterprise operations data, KPIs, and business metrics
Create data lakehouse architectures optimized for manufacturing analytics and reporting
Develop custom connectors and API integrations for specialized manufacturing equipment and systems
Mentor junior team members and establish data engineering best practices
Collaborate with business stakeholders across various departments to translate requirements into technical solutions
Ensure data governance, security, and compliance within enterprise data environments

2+ years of hands-on experience with Microsoft Fabric Data Factory, Synapse Analytics, and lakehouse architecture
4+ years of extensive experience building complex data pipelines and orchestration
Deep understanding of manufacturing data patterns, production systems, and operational metrics
Advanced skills in data modeling, pipeline optimization, and performance tuning
Expert-level proficiency in SQL, Python, and PySpark for manufacturing data transformations
Advanced experience with REST APIs, webhooks, and real-time data streaming
Bachelor's degree in Engineering, Computer Science, or related technical field
Manufacturing industry experience preferred with understanding of production operations, quality systems, and supply chain processes

Data Engineer, Microsoft Fabric

Key skills