{"id":1318500,"url":"https://alion.io/job/cmcglobal-senior-data-engineer-singapore","title":"Senior Data Engineer – Singapore","company":{"id":3827704,"name":"CMC Global","domain":"cmcglobal.com.vn","url":"https://alion.io/company/cmcglobal","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"C","score":61,"open_postings":115,"ghost_share":0.643,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data 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AgentCore","optional":true},{"name":"AWS Glue","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-07-10T08:57:52Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-15T17:14:49Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":96},"description":"JOB DESCRIPTION\nData Pipeline Infrastructure & ArchitectureDesign and implement scalable data architectures on cloud data platforms with high availability, security, and performance\nLead development of Data Lakehouse solutions\nCollaborate with stakeholders to understand requirements and translate them into technical specifications\n\nPipeline Development & OptimisationBuild and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks\nOptimise data processing workflows for performance, cost-effectiveness, and reliability\nImplement automated data quality checks and monitoring systems to ensure data integrity\n\nData Systems Architecting & SolutioningDesign and architect comprehensive cloud-native Data & AI solutions aligned with business objectives and technical requirements\nLead cloud migration strategies and oversee implementation of complex multi-cloud environments\nDrive innovation through integration of Data & AI capabilities into HDB’s Data & AI platform product architectures\nConduct technical assessments and recommend modernised approaches using cloud native technologies\nMaintain architectural documentation\n\nCloud Platform OperationsLeverage Cloud Native Services to build and manage data infrastructure\nImplement infrastructure as code practices using Terraform\nEnsure compliance with security standards and data governance policies\n\nTechnical Leadership & CollaborationMentor junior data engineers and provide technical guidance on complex challenges\nParticipate in architectural reviews and contribute to data strategy evolution\n\nREQUIREMENTS\nBachelor’s degree in computer science, Information Technology, Computer Engineering, or related field\nMinimum 3 years of relevant experience in data systems architecture, data systems integration, and data pipeline setup at production scale\nGood understanding of cloud computing principles including infrastructure as code, containerisation, microservices architecture, cloud security frameworks, identity and access management, network architecture, and distributed systems\nProven ability to translate business requirements into technical solutions\nExcellent communication skills for presenting complex concepts to diverse audiences\nExperience with cloud security frameworks, compliance requirements, and risk management\nExperience in data domains (e.g. DataOps, Data Lakehouse) and AI/ML Domains (e.g. MLOps, LLMOps)\nStrong Knowledge and Hands-on experience with SQL, Python and Apache Spark \nHands-on experience with Apache Kafka, Airflow, or similar technologies\nGood to Have:\nProficiency in Amazon Web Services (AWS) services\nRelevant cloud certifications (e.g. AWS Solutions Architect Professional, AWS Data Engineer Associate) would be an advantage\nExperience with Data & AI cloud-native services (e.g. Amazon SageMaker Unified Studio, Amazon Quick Suite, AWS S3, AWS Glue, AWS Lake Formation, AWS Bedrock, AWS Agent Core).\nFamiliarity with serverless computing, edge computing, and IoT architectures would be an advantage.\nExperience with machine learning operations (MLOps) and ML model deployment pipelines\nKnowledge of data governance frameworks and metadata management tools\nFamiliarity with data visualisation tools and business intelligence platforms\nHOW TO APPLY\nPlease send your application via email: \n*By submitting your application to , you acknowledge that you have read, understood, and agreed to CMC Global’s REGULATIONS ON THE PROTECTION OF CANDIDATES’ PERSONAL INFORMATION.\nThe post Senior Data Engineer - Singapore 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