{"id":1242565,"url":"https://alion.io/job/fpt-software-m28-data-engineer","title":"M28 - Data Engineer","company":{"id":49426,"name":"FPT Software","domain":"fptsoftware.com","url":"https://alion.io/company/fpt-software","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":6000,"max":9500,"currency":"SGD","period":"month","gross":true,"usd_annual":89256},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-24T00:00:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Role Overview\nWe are seeking an experienced Data Engineer to design, build, and deploy a scalable and reliable data lakehouse platform on AWS. The role will focus on developing end-to-end data pipelines, establishing robust data quality frameworks, and delivering production-ready solutions that form the foundation of the organisation's data infrastructure.\nKey Responsibilities\nDesign, develop, and maintain scalable ETL/ELT data pipelines using AWS services such as Glue, Step Functions, Lambda, and S3.\nArchitect and implement data lakehouse solutions using Apache Iceberg, S3 Tables, or similar open table formats.\nImplement lakehouse capabilities including schema evolution, partition evolution, and ACID transactions.\nOptimise data pipelines and storage solutions for performance, scalability, reliability, and cost efficiency.\nDefine and implement automated data quality validation frameworks to ensure data accuracy, completeness, and consistency.\nEstablish data quality metrics, monitoring, and alerting mechanisms across the data platform.\nImplement and maintain data governance standards and ensure compliance with relevant policies and requirements.\nDevelop production-quality code and deploy solutions on AWS cloud infrastructure.\nImplement CI/CD practices to support automated, repeatable, and reliable deployments.\nUse infrastructure-as-code tools such as Terraform or CloudFormation to provision and manage cloud infrastructure.\nWork closely with cross-functional teams to design and deliver data engineering solutions.\nCommunicate technical designs and concepts clearly to both technical and non-technical stakeholders.\nProduce comprehensive technical documentation covering architecture, pipelines, deployment, operations, and support procedures.\nSupport knowledge transfer and handover of developed solutions to Day 2 operations and support teams.\nQualifications & Experience\nDegree in Computer Science, Data Engineering, Information Systems, or a related discipline.\n3–5 years of relevant experience in data engineering, ETL/ELT development, or data platform engineering.\nStrong hands-on experience with AWS cloud services, particularly Glue, Step Functions, Lambda, and S3.\nStrong experience designing and developing scalable data pipelines and data lakehouse architectures.\nHands-on experience with Apache Iceberg, S3 Tables, or similar open table formats.\nGood understanding of Apache Iceberg capabilities including schema evolution, partition evolution, ACID transactions, and table optimisation.\nExperience implementing automated data quality frameworks, validation rules, monitoring, and data governance controls.\nExperience developing and deploying production-grade applications or data solutions in cloud environments.\nExperience with CI/CD practices and infrastructure-as-code tools such as Terraform or CloudFormation.\nExperience working in a Government Commercial Cloud (GCC) environment is strongly preferred.\nStrong analytical, problem-solving, communication, and stakeholder management skills.\nAWS certifications such as AWS Certified Data Engineer, AWS Certified Solutions Architect, or equivalent certifications would be an advantage.\nSkills\nSnowflake Cloud Data Warehouse, Design, Database Schemas, Data Quality Standards, Data Pipeline, AWS, Optimisation Techniques, Information Systems, Data Solutions, Cloudformation, ETL, Infrastructure as Code (IaC), Data Governance, Computer Science, Cloud Deployment, Data Engineering, Data Infrastructure, AWS Lambda, S3","description_format":"text","description_chars":3500,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T16:15:06Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":17,"reasons":["seen:2","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":{"stated_usd_annual":89256,"is_top_pay":false},"html_url":"https://alion.io/job/fpt-software-m28-data-engineer","json_url":"https://alion.io/job/fpt-software-m28-data-engineer.json","meta":{"generated_at":"2026-09-27T04:46:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4119,"day_limit":5000,"remaining_today":881,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}