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Data Engineer (Permanent)

7,000 SGD · period not specifiedSingapore, SGScore 65/1001w ago
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
MongoDBStream ProcessingPostgreSQLData PipelineDatabase SystemsERPData EngineeringSQLIoT Platform DevelopmentData LakeMqttFault Finding
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Description
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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