{"id":1242581,"url":"https://alion.io/job/nsearch-global-data-engineer","title":"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":"middle","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":8000,"max":10000,"currency":"SGD","period":"month","gross":true,"usd_annual":93960},"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":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Azure","optional":true}],"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":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Our client, one of Asia-Pacific’s leading organizations is looking for:\n\nData Engineer\n\nResponsibilities:\nDesign and implement scalable ETL/ELT pipelines using AWS services including Glue, Step Functions, Lambda, and S3. \nArchitect and build data lakehouse solutions leveraging Apache Iceberg or S3 tables, incorporating features such as schema evolution, partition evolution, and ACID transactions.\nEnsure pipelines are optimised for performance, cost, and reliability at scale.\nDefine, implement, and maintain automated data quality validation frameworks, establishing metrics and monitoring to ensure data accuracy, completeness, and consistency.\nWrite production-quality code and deploy solutions on AWS cloud infrastructure. \nWork with DevOps practices including CI/CD pipelines and infrastructure-as-code tools such as Terraform or CloudFormation to ensure repeatable and auditable deployments.\nRequirements:\nA degree in Computer Science, Data Engineering, Information Systems, or a related field is required. \nAt least 3–5 years of experience in data engineering, ETL/ELT development, or data platform roles is expected. \nStrong hands-on experience with AWS services and proficiency in Apache Iceberg or similar open table formats is essential. \nAbility to design and build scalable, reliable data pipelines using modern data lakehouse architectures including Apache Iceberg and S3 tables.\nSkilled in writing production-quality code, optimising performance, and deploying solutions on cloud platforms.\n-----------------------------------------------------------------------------------------------------------------------------------\nInterested applicants can also email CV at  (for faster processing, please state the exact job / position title applied “Data Engineer\"\nOnly shortlisted candidates will be notified.\n-----------------------------------------------------------------------------------------------------------------------------------\nEA License Number: 10C3636\nEA Personnel Name: Chauhan, Asmita\nEA Personnel Registration Number: R1980706\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\nDatabase Optimization, Data Modelling, Data Pipeline, Glueing, Azure DevOps, AWS, Data Warehouse Architectures, Information Systems, Lambda Architecture, ETL, Databricks, Cloud Deployment, Data Engineering, SQL, Data Lake, Python, CI/CD, Data Architecture, AWS Lambda, S3","description_format":"text","description_chars":2905,"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":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.534,"p_room":1,"age_days":6,"expected_fill_days":38,"reasons":["seen:6","agency","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":93960,"is_top_pay":false},"html_url":"https://alion.io/job/nsearch-global-data-engineer","json_url":"https://alion.io/job/nsearch-global-data-engineer.json","meta":{"generated_at":"2026-10-01T02:56:05Z","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":2310,"day_limit":5000,"remaining_today":2690,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}