{"id":3499328,"url":"https://alion.io/job/fuku-de-intern","title":"DE Intern","company":{"id":3546,"name":"Fuku","domain":"fuku.sg","url":"https://alion.io/company/fuku","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":597,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":120,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","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":null,"salary_estimate":{"min_usd":29000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T03:01:32Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T13:33:45Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":5},"description":"About the Role\nWe are looking for a motivated Data Engineering Intern to join our Data Platform team. 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You will work closely with engineers and business stakeholders across the group, turning business logic into reliable, production-grade data solutions.\nKey Responsibilities\n- Assist in integrating data from multiple business and transactional sources into the data platform.\n- Develop and maintain data extraction, cleansing and aggregation pipelines.\n- Implement business calculation logic on existing frameworks and maintain rule configurations.\n- Perform data validation and reconciliation; trace, document and explain the root cause of discrepancies.\n- Support the development and testing of internal platform features.\n- Leverage the team's AI tooling to improve development and validation efficiency, and document reusable practices for the team.\n- Write and maintain technical documentation covering pipelines, configurations and validation procedures.\n- Collaborate with engineers and business teams to clarify requirements and verify output correctness.\n- Participate in code 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