Description

You will build and maintain data pipelines for manufacturing and IoT systems on AWS.

This role is on-site.

Responsibilities

• Develop stream and batch data pipelines using Python and AWS services.
• Transform and optimize data using SQL.
• Design event-driven systems based on MQTT publish/subscribe architecture.
• Implement Unified Namespace (UNS) solutions for industrial data integration.
• Ensure data quality and troubleshoot ingestion issues from PLCs, MES, and sensors.

Required Skills

• 5+ years of experience in data engineering.
• Strong proficiency in Python for pipeline development.
• Advanced SQL skills for data transformation and analytics.
• Hands-on experience with AWS data services.
• Knowledge of industrial data sources (PLCs, sensors, presses).
• Experience with JSON, Avro, and Parquet formats.
• Understanding of real-time IoT data integration patterns.

Key Skills

Education

Bachelor’s degree