Data Engineer, Microsoft Fabric

🕒 March 26

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Logo of Teknor Apex Company

Teknor Apex Company

1001 - 5000 employees

Founded 1924

Automotive • Healthcare • Wire & Cable

Teknor Apex Company is a global leader in custom polymer compounding and formulated materials solutions, providing engineered thermoplastics, thermoplastic elastomers (TPEs/TPVs), vinyls, polyolefins, color masterbatches and specialty additives for a wide range of industrial applications. The company partners with manufacturers across automotive, healthcare, wire & cable, building & construction, packaging and consumer markets, emphasizing application-specific R&D, global manufacturing and sustainability initiatives (recycled and bio-based content, certifications, and regulatory support). Teknor Apex combines deep material science expertise, a broad product portfolio and a century of manufacturing experience to deliver tailored, compliant and scalable polymer solutions.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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