Data Engineering Professional I
Core
Design, analyze, and implement complex manufacturing data-driven solutions to improve product quality, reduce loss, and increase efficiency in global manufacturing and supply operations.
Role type
Data Engineer (Manufacturing/Supply Chain)
Builds
Scalable data pipelines, data models, and analytics solutions for manufacturing processes.
Domain
Pharmaceutical manufacturing and global supply chain
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling, Databricks, AWS native technologies, relational databases, batch-based manufacturing processes, Shop-Floor systems (MES, ERP, LIMS, Historian), DevSecOps, automated testing
Preferred skills
Biovia Discoverant, Simca Online, PAS-X Savvy, Siemens gPROMS, Computer Systems Validation GAMP, Data Science workflows (Machine Learning/Deep Learning), AWS (S3, EC2, Terraform)
Technologies
AWS, Databricks, Oracle, MongoDB, SQL
Responsibilities
Contribute to data engineering of existing and new IT systems; Enable data analytics (process trending, modeling, real-time, predictive) in a GxP environment; Develop and maintain scalable data pipelines; Drive identification and resolution of technical issues; Ensure Digital Products and Platforms are built efficiently and on state-of-the-art technology; Provide guidance to business partners on complex technical changes; Collaborate with analytics and business teams to improve data models for business intelligence.
Seniority
Mid-level (3+ years experience)
