{"id":3060257,"url":"https://alion.io/job/xiaomi-data-engineer-2","title":"Data Engineer","company":{"id":105,"name":"Xiaomi","domain":"mi.com","url":"https://alion.io/company/xiaomi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Feishu","truth_index":{"grade":"C","score":68,"open_postings":1082,"ghost_share":0.457,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":100,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Flink","optional":false},{"name":"Hadoop","optional":false}],"status":"live","first_seen_at":"2026-08-25T07:30:45Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T11:47:17Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":59},"description":"岗位职责 / Responsibilities\n1. Be responsible for the operation and maintenance of the overseas part of the group's data warehouse (mobile device data warehouse, IOT data warehouse, app data warehouse).\n2. Have an in-depth understanding of Xiaomi's business, clearly abstract and model business processes, determine the big data architecture system suitable for Xiaomi's complex business scenarios, and continue to iterate.\n3. Continue building the group’s data warehouse, support its testing, and enable data-driven overseas operations.\n任职要求 / Requirements\n1. Bachelor's degree in computer science, software engineering or other related fields, 2-5 years related work experience.\n2. Have a certain understanding of big data technology architecture (Hadoop, spark, Flink, Doris, kudu, iceberg).\n3. Solid programming ability, with good basic computer knowledge of data structure, algorithm, operating system, etc.\n4. 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