Data Engineer

Job Description

We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines integrating information from multiple enterprise systems, including SAP, Teamcenter, Quality Management Systems, CRM, forecasting platforms, and supplier data sources.

The ideal candidate should have strong expertise in Python, SQL, ETL/ELT, and enterprise data integration, preferably within manufacturing or industrial environments.

Key Responsibilities

• Build and maintain production-grade batch and streaming data pipelines.
• Integrate data from SAP ERP, Teamcenter PLM, CRM, Quality Management Systems, and supplier data feeds.
• Develop ETL/ELT processes to ingest and transform BOM, cost, and supplier data.
• Perform data cleansing, entity resolution, validation, and reconciliation.
• Optimize pipelines for scalability, performance, and data accuracy.
• Collaborate with technical and business teams on integration requirements.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 6+ years of experience building production data pipelines.
• Strong hands-on experience with Python, SQL, and ETL/ELT frameworks.
• Experience integrating heterogeneous enterprise systems (ERP, PLM, CRM).
• Knowledge of batch and streaming data processing.
• Strong understanding of data transformation, cleansing, and reconciliation.

Preferred Skills

• Experience with SAP, Teamcenter, or ComplianceQuest.
• Exposure to industrial/manufacturing datasets, including BOMs, cost rolls, and vendor master data.
• Familiarity with graph databases or knowledge-graph ingestion