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DATA Engineer

Middle4.500 SGD · período não informadoSingapore, SGhá 3 d

Análises de mercado

📊 Data Engineering: salários e demanda no mercado

Stack

Ownership Team Monitoring retail KPIs Quality Management maintaining spreadsheets Data Pipeline Production implement production Data Documents Data Engineering Deep Clean data quality reporting

Detalhes

Experiência: 3+ anos

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Descrição

Key

Responsibilities

Build and maintain reliable data pipelines for manufacturing and business reporting. · Connect data from ERP, production, quality, inventory and other operational sources. · Clean, structure and validate data so teams can trust operational dashboards and analysis. · Develop practical data models for production, OTD, quality, inventory and productivity KPIs. · Automate recurring data preparation and reduce manual spreadsheet consolidation. · Support Power BI datasets, dashboards and governed reporting where required. · Monitor data quality and resolve missing, duplicated or inconsistent records. · Document data sources, definitions, transformations and ownership clearly. · Work with Production, Quality, Materials and Management to translate operational needs into data solutions. · Apply appropriate access controls, backup and data-governance practices. · Continuously improve reporting speed, accuracy and decision visibility. Job

Requirements

Diploma or equivalent qualification in a relevant technical field is acceptable; demonstrated data skills are the priority. · Minimum 3 years of experience in data engineering, BI, analytics engineering or related work. · Hands-on SQL capability plus experience with Power Query or comparable data-transformation tools. · Experience with Power BI and structured data models is strongly preferred. · Manufacturing/ERP data experience and ability to communicate with operational users are advantages.

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