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Data Engineer (Permanent)

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Summary

Permanent data engineer role in Singapore building ETL and data-integration pipelines that connect MES, ERP, and IoT systems to an Omniverse digital-twin platform. Core stack: Python, SQL, Kafka, MQTT/OPC-UA, and PostgreSQL/MongoDB/InfluxDB. Posted via GMP Recruitment Services on behalf of a client.

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. GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | VO UYEN AI LINH | Registration No: R22109232

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