Description

Required Skills & Experience

 

• Strong experience with Python for data engineering and pipeline development.
• Solid SQL skills for data transformation, analytics, and optimization.
• Hands-on experience building stream and batch data pipelines on AWS.
• Good understanding of MQTT publish/subscribe architecture and event-driven data systems.
• Experience designing or working with Unified Namespace (UNS) implementations.
• Knowledge of industrial/manufacturing data sources such as PLCs, MES, sensors, presses, or CBM systems.
• Experience handling JSON, Avro, and Parquet data formats.
• Understanding of real-time manufacturing or IoT data integration patterns.
• Strong troubleshooting, monitoring, and data quality management skills

Key Skills

Education

Bachelor’s degree