Data Engineer (Permanent)

GMP TECHNOLOGIES (S) PTE LTD

Singapore

On-site

SGD 90,000 - 120,000

Full time

14 days+

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Job summary

GMP Technologies (S) PTE LTD is seeking a data engineer to build and deploy data integration pipelines on the factory floor, connecting MES, ERP, and IoT systems to the Omniverse platform. The role focuses on ETL development, data lake/warehouse architecture, and real-time digital twin data support.

You will collaborate with Digital Twin Engineers to set data interface standards, monitor pipeline health, and resolve anomalies, ensuring data accuracy and timeliness across complex manufacturing

Qualifications

  • 3+ years hands-on data engineering or ETL development.
  • Proficiency in Python and SQL, plus experience with stream processing tools such as Apache Kafka.
  • Practical experience with industrial communication protocols, including REST API, MQTT, and OPC-UA.
  • Solid knowledge of database systems such as PostgreSQL, MongoDB, and InfluxDB.

Responsibilities

  • Build and deploy data integration pipelines for the factory floor, linking MES, ERP, and IoT systems to the Omniverse platform.
  • Develop ETL workflows that keep data accurate, timely, and consistent.
  • Architect data lakes and data warehouses that power real-time, data-driven digital twins.
  • Work with Digital Twin Engineers to define data interface standards and transmission protocols.
  • Oversee the health of data pipelines, respond to alerts, and resolve faults and anomalies.

Skills

Python
SQL
Kafka
REST API
MQTT
OPC-UA
PostgreSQL
MongoDB
InfluxDB

Tools

ETL

Job description

  • Build and deploy data integration pipelines for the factory floor, linking MES, ERP, and IoT systems to the Omniverse platform.
  • Develop ETL workflows that keep data accurate, timely, and consistent.
  • Architect data lakes and data warehouses that power real-time, data-driven digital twins.
  • Work with Digital Twin Engineers to define data interface standards and transmission protocols.
  • Oversee the health of data pipelines, respond to alerts, and resolve faults and anomalies.

Required Qualifications

  • At least 3 years of hands-on experience in data engineering or ETL development.
  • Proficiency in Python and SQL, plus experience with stream processing tools such as Apache Kafka.
  • Practical experience with industrial communication protocols, including REST API, MQTT, and OPC-UA.
  • Solid knowledge of database systems such as PostgreSQL, MongoDB, and InfluxDB.

Preferred Qualifications

  • Prior experience integrating with manufacturing MES and ERP systems.
  • Working knowledge of cloud platforms such as AWS, Azure, or GCP.

We regret that only shortlisted candidates will be notified.

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