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You will work within a multi-disciplinary delivery team building and running mission-critical public-facing systems on Azure.\nKey responsibilities\nDesign, develop and maintain scalable data pipelines and ETL/ELT processes\nPerform data modelling and quality management\nIntegrate multiple data sources\nSupport analytics and reporting\nWhat you will bring\nMinimum 5 years in data platforms; projects of 1,000+ man-days; technical-lead experience\nSQL\nPython\nAzure Data Factory/Synapse/Data Lake\nSpark\nETL/ELT tools\nData modelling\nBasic Power BI\nGit\nCI/CD\nQualifications & certifications\nDegree/Diploma in CS, Data Science or related\nAzure Data Engineer certifications preferred\nWork arrangement\nLocation: Singapore, on-site at client premises\nEmployment type: Contract / Permanent / Full Time\nWorking days: Monday to Friday\nThe successful candidate must be able to obtain the required government security clearance before starting\nCandidates with existing CAT security clearance will be preferred\nInterested candidates can send their CV directly to \nSkills\nGit, Apache Spark, Data Modelling, Pipeline Management, Azure Data Factory, Azure Data Lake, Agile Methodologies, Problem Solving, ETL, Azure Synapse Analytics, Data Engineering, SQL, Python, CI/CD, Data Quality Management, integrate Data sources, Data Science, Power BI, Software 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