{"id":3058750,"url":"https://alion.io/job/3-cubed-business-consulting-aws-data-engineer","title":"AWS Data Engineer","company":{"id":3802177,"name":"3 Cubed Business Consulting","domain":"3cubedconsulting.com","url":"https://alion.io/company/3-cubed-business-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":10000,"currency":"SGD","period":"month","gross":true,"usd_annual":93924},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Puppet","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-22T00:00:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Company Overview\n3 Cubed Business Consulting is headquartered in Singapore, providing end-to-end IT consulting, solutions, and services across Asia Pacific. We deliver impactful technology solutions aligned with our customers’ purpose and perform with passion.\nJob Summary\nYou will design, develop, and maintain scalable, secure data pipeline solutions on cloud infrastructure, ensuring high reliability and performance. Collaborate with stakeholders and coach team members to deliver best-in-class business products throughout their lifecycle.\nResponsibilities\nDeliver end-to-end data pipeline solutions on cloud infrastructure using the latest technologies and industry best practices\nApply domain modeling techniques to build high-quality business products\nStructure software for clarity, testability, and ease of evolution\nDesign scalable architectures that eliminate single points of failure\nDevelop secure code to protect customers and systems from malicious threats\nInvestigate and resolve issues promptly, preventing recurrence\nManage software releases to achieve zero downtime for end-users\nOptimize data read/write operations to meet business needs\nMonitor system performance and apply appropriate problem-solving approaches\nEnsure system reliability and operational simplicity\nContinuously update technologies and architectural patterns to stay current\nSupport products through their full lifecycle, including production support and incident management\nCoach team members on coding practices, design principles, and maintainable implementation patterns\nManage stakeholder expectations and prioritize work across multiple streams effectively\nRequired competencies and certifications\nFormal training or certification in data engineering concepts with applied experience\nRecent hands-on professional experience as a data engineer\nProficient coding skills in a recent version of Python\nExperience designing and implementing effective tests (unit, component, integration, end-to-end, performance)\nExcellent written and verbal communication skills in English\nExperience working with cloud technologies and distributed systems\nExperience with data transformation frameworks and data pipeline orchestration tools\nExperience managing large volumes of data and optimizing data processing\nUnderstanding of event-based architecture, data streaming, and messaging frameworks\nPreferred competencies and qualifications\nExperience working in highly regulated environments or industries\nExperience with AWS cloud technologies\nExperience with data governance frameworks\nUnderstanding of incremental data processing and versioning\nFamiliarity with RESTful APIs and web technologies including DBT, Airflow, SQL, and Python\nSkills\nData Warehousing Design, Puppet, Software Security, Data Pipeline, AWS, Release Management, Core Banking, Business Modeling, EC2, Issue Handling, Engineering Data, Health Insurance, Scalable Architecture, S3, Web Technology, Technical Design","description_format":"text","description_chars":2962,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital 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