Key skills
AirflowAWSAzureCloudERPIoTKafkaPythonSparkSQLSnowflakeDatabricksRemote Work
About this role
Role Overview
- Manufacturing operations expertise with a focus on shop floor and production planning
- Develop and maintain cloud data pipelines for IoT data
- Collaborate with teams to ensure efficient data flow
- Analyze and drive improvements in yield, uptime, and efficiency
- Work with various industrial protocols and tools to gather and process data
Requirements
- 8–10 years in manufacturing (optional)
- Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP
- Proficient in industrial protocols (OPC-UA, MQTT, Modbus)
- Ability to bridge OT/IT systems for real-time data extraction
- Applied experience with OEE, Six Sigma, SPC, and lean methodologies
- Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake
- Strong SQL and Python proficiency with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure
Tech Stack
- Airflow
- AWS
- Azure
- Cloud
- ERP
- IoT
- Kafka
- Python
- Spark
- SQL
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options