Data Engineer (Permanent)
Summary
A Singapore-based data engineer role building and deploying ETL and data-integration pipelines that connect MES, ERP, and IoT systems to an Omniverse digital-twin platform, plus designing data lakes/warehouses and monitoring pipeline health. Core stack: Python, SQL, Apache Kafka, REST APIs, MQTT/OPC-UA, and PostgreSQL, MongoDB, and InfluxDB.
Responsibilities
BuildanddeploydataintegrationpipelinesconnectingMES,ERP,andIoTsystemstotheOmniverseplatform.
DevelopandmaintainETLworkflowstoensuredataaccuracy,timeliness,andconsistency.
Designdatalakesanddatawarehousestosupportreal-timedigitaltwinapplications.
DefinedatainterfacestandardsandtransmissionprotocolsforintegrationwithDigitalTwinsystems.
Monitordatapipelineperformance,investigatealerts,andresolvedatafaultsandanomalies.
Requirements
Atleast3yearsofhands-onexperienceindataengineeringorETLdevelopment.
ProficiencyinPython,SQL,andstreamprocessingtoolssuchasApacheKafka.
PracticalexperiencewithRESTAPIsandindustrialcommunicationprotocols,includingMQTTandOPC-UA.
Knowledgeofdatabasesystems,includingPostgreSQL,MongoDB,andInfluxDB.
ExperienceintegratingmanufacturingMESAndERPsystemsispreferred;familiaritywithAWS,Azure,orGCPis anadvantage.