{"id":1441196,"url":"https://alion.io/job/nsearch-global-senior-data-engineer-2","title":"Senior / Data Engineer","company":{"id":3802187,"name":"Nsearch Global","domain":"nsearchglobal.com","url":"https://alion.io/company/nsearch-global","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","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":9000,"max":12000,"currency":"SGD","period":"month","gross":true,"usd_annual":112656},"salary_estimate":null,"experience_years_min":5,"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 Glue","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":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-29T00:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Our client, one of Asia-Pacific’s leading organizations is looking for:\nSenior / Data Engineer\nResponsibilities:\nDesign and implement scalable ETL/ELT pipelines using AWS Glue, Step Functions, Lambda and S3\nBuild data lakehouse solutions using Apache Iceberg or Amazon S3 Tables, incorporating schema evolution, partition evolution and ACID transactions\nDevelop and maintain automated data quality validation frameworks; Establish metrics and monitoring to ensure data accuracy, completeness and consistency\nImplement data governance controls and ensure compliance with applicable standards\nWrite production-quality code and deploy solutions on AWS\nImplement CI/CD pipelines and infrastructure as code using tools such as Terraform or CloudFormation to support repeatable and auditable deployments\nWork with cross-functional teams and communicate technical designs clearly to technical and non-technical stakeholders\nRequirements:\nDegree in Computer Science, Data Engineering, Information Systems or a related discipline with 5+ years of experience in data engineering, ETL/ELT development or data platform roles\nStrong hands-on experience developing and deploying production solutions using AWS services\nProficiency in Apache Iceberg or similar open table formats\nExperience in a Government Commercial Cloud (GCC) environment is strongly preferred; Relevant AWS certifications are an advantage\nStrong understanding of data lakehouse architecture, Apache Iceberg features and Amazon S3 Tables optimisation\nAbility to design reliable pipelines and implement automated data quality and governance controls\nProficiency in production-quality coding, performance optimisation and cloud deployment\n-----------------------------------------------------------------------------------------------------------------------------------\nInterested applicants can also email CV at  (for faster processing, please state the exact job / position title applied “Senior Data Engineer”\nOnly shortlisted candidates will be notified.\n-----------------------------------------------------------------------------------------------------------------------------------\nEA License Number: 10C3636\nEA Personnel Name: Arora, Hardeep\nEA Personnel Registration Number: R1111454\nBy submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application\nSkills\nApache 2, Terraform, GCC, Data Pipeline, AWS, Cloudformation, ETL, Data Governance, Cloud Deployment, Data Architecture, AWS Glue, Data Warehousing","description_format":"text","description_chars":2968,"description_truncated":false,"requirements":{"experience_years_min":5,"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":"2026-09-29T04:00:00Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":2,"expected_fill_days":14,"reasons":["seen:2","agency","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":112656,"is_top_pay":false},"html_url":"https://alion.io/job/nsearch-global-senior-data-engineer-2","json_url":"https://alion.io/job/nsearch-global-senior-data-engineer-2.json","meta":{"generated_at":"2026-10-01T09:42:41Z","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":434,"day_limit":5000,"remaining_today":4566,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}