Key skills
AzureCloudERPIoTPySparkSparkSQLData EngineeringData WarehousingAnalyticsBIDatabricksCommunication
About this role
Role Overview
- Design, build, and optimize scalable data pipelines using Azure Databricks (PySpark, Spark SQL, Delta Lake)
- Integrate and process MES data, shop-floor data, IoT/sensor data, and ERP systems
- Architect modern data solutions supporting manufacturing analytics and operational reporting
- Lead data engineering best practices including performance tuning, optimization, and governance
- Work closely with manufacturing stakeholders to translate MES data requirements into scalable data models
- Ensure high data quality, reliability, and production-grade deployments.
Requirements
- Strong hands-on expertise in Azure Databricks (Delta Lake, PySpark, Spark architecture)
- Proven experience in Manufacturing domain, especially working with MES systems and production data
- Experience building real-time or near-real-time data pipelines
- Strong SQL and data modeling skills
- Experience with cloud platforms (Azure preferred)
- Ability to function as both technical architect and hands-on developer
- Excellent communication skills and ability to work in PST time zone
- Preferred: Experience with IoT data ingestion and streaming technologies
- Exposure to data warehousing and BI integration
- Experience leading small data engineering team
Tech Stack
- Azure
- Cloud
- ERP
- IoT
- PySpark
- Spark
- SQL
Benefits
- All your information will be kept confidential according to EEO guidelines.