Data Engineer
Core
Designing and implementing scalable data pipelines and enterprise Master Data Management (MDM) architectures to integrate master data from diverse sources for industrial applications.
Role type
Senior Data Engineer (MDM & Data Warehousing)
Builds
Enterprise MDM data models, scalable data pipelines, and physical master data models
Domain
Industrial manufacturing, Data Management, Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling (CA Erwin/Embarcadero ER Studio), Data Warehousing, ETL design, SQL, PL/SQL, Python, Scala, Informatica MDM, Informatica IDQ, Data Vault architecture, Cloud platforms (AWS/Azure/GCP), Databricks, Unix/Linux scripting, Git, CI/CD, Docker, Kubernetes
Preferred skills
Data Vault architecture, Tableau, Agile methodologies, DevOps tools, Machine learning concepts
Technologies
Apache Spark, Delta Lake, MLflow, Informatica MDM, Informatica IDQ, Oracle, SSIS, JAMS, Rundeck, Control M
Responsibilities
Owns, develops and publishes enterprise MDM data model; Aligns technical architecture framework with requirements; Manages MDM and Databricks deployment lifecycle; Designs and implements scalable data pipelines for machine learning; Mentors MDM Modelers and leads data modeling/quality efforts; Conducts technical design reviews
Seniority
Senior, hands-on IC with leadership responsibilities
