Data Engineer (Permanent)

Responsibilities

• Build and deploy data integration pipelines connecting MES, ERP, and IoT systems to the Omniverse platform.

• Develop and maintain ETL workflows to ensure data accuracy, timeliness, and consistency.

• Design data lakes and data warehouses to support real-time digital twin applications.

• Define data interface standards and transmission protocols for integration with Digital Twin systems.

• Monitor data pipeline performance, investigate alerts, and resolve data faults and anomalies.

Requirements

• At least 3 years of hands-on experience in data engineering or ETL development.

• Proficiency in Python, SQL, and stream processing tools such as Apache Kafka.

• Practical experience with REST APIs and industrial communication protocols, including MQTT and OPC-UA.

• Knowledge of database systems, including PostgreSQL, MongoDB, and InfluxDB.

• Experience integrating manufacturing MES and ERP systems is preferred; familiarity with AWS, Azure, or GCP is an advantage.
  

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