{"id":2790836,"url":"https://alion.io/job/worksid-detaenjinia","title":"【大阪】データエンジニア","company":{"id":4440919,"name":"Works ID","domain":"worksid.co.jp","url":"https://alion.io/company/worksid","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HERP","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":300000,"max":500000,"currency":"JPY","period":"month","gross":null,"usd_annual":38352},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CentOS Stream","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Linux","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-01-30T18:25:00Z","employer_posted_date":"2025-01-30","last_verified_at":"2026-10-18T08:49:41Z","board_verified":true,"closed_at":null,"days_open":625,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":625},"description":"大阪データエンジニア\n募集概要\n### 業務内容\n様々なプロジェクトにおいて、大量のデータを活用した分析やサービス開発が進められています。これらのプロジェクトを支えるデータエンジニアとしてご活躍いただきます。\n具体的な業務内容としては、以下のようなものが挙げられます。\n_\nデータ収集・抽出_ : 多様なデータソース（データベース、API、ファイルなど）から、分析に必要なデータを抽出\n_\nデータクリーニング_ : 抽出されたデータの品質向上のため、欠損値の補完、異常値の検出、データの標準化\n_\nデータ変換_ : 分析に適した形式に変換するために、データの構造化、正規化、集計\n_\nデータ格納_ : データウェアハウスやデータレイクにデータを格納、管理\n_\nデータモデリング_ : データの構造を設計し、データベースを作成\nこれらの業務を通して、データ基盤を強化し、データドリブンな意思決定を支援します。\n### 環境\n・OS: Linux (CentOS, Ubuntuなど)\n・プログラミング言語: Python\n・データベース: SQL、PostgreSQL, MySQL, Redshift, BigQuery\n・クラウド環境: AWS, Azure, GCP\n### 必須要件\nデータベース設計や構築に携わった経験が実務で1年以上ある方\n例：リレーショナルデータベース（MySQL、PostgreSQLなど）の設計・構築経験\nSQLを用いたデータ抽出・分析経験\nクラウド環境（AWS、GCPなど）上のデータベース運用経験\nビジネス要件を分析し、適切なデータモデルを設計\nデータ分析基盤の構築（サーバー構築/設計などの経験・知識）\n### 歓迎スキル\n・Office365のPowerPlatform経験がある方（PowerBI、PowerAutomete、PowerApps優遇）\n・データ可視化ツール（Tableau、Power BIなど）の利用経験\n・クラウドプラットフォーム（AWS、GCP、Azureなど）の利用経験\n・機械学習モデルの構築経験\n### 求める人物像\n・データ分析に興味があり、新しい技術を学ぶことに意欲的な方\n・チームメンバーと協力し、目標達成に向けて取り組める方\n・変化の激しい環境でも、柔軟に対応できる方\n応募概要\n給与\n月給 30万円 〜 50万円 月給30万円〜50万円＋賞与年2回＋各種手当\n※上記はあくまで入社時の給与です。過去の経験や能力を考慮して、当社規定により優遇いたします。\n※固定残業代40,560円〜(20時間分)含む。超過分は全額支給します。\n※試用期間6ヵ月（その間給与に差異なし、賞与は試用期間後適用）\n勤務地\n大阪府大阪市北区梅田2-4-9 ブリーゼタワー25階\n雇用形態\n正社員\n勤務体系\n9:00〜18:00／実働8時間・休憩1時間（プロジェクトによる）\n完全週休2日制（土日）\n祝日\n自己研鑽休暇\n年末年始休暇\n産前産後休暇\n育児休暇（男女ともに取得実績あり）\n慶弔休暇\n特別休暇\n福利厚生\n昇給年1回（10月）\n賞与年2回（6月、12月）\n各種社会保険完備\n時短勤務制度\nホットライン制度\n定期健康診断\n確定拠出年金制度\n交通費（社内規定あり）\n時間外手当\n役職手当\nフレックスタイム制度\nテレワーク（在宅勤務・リモートワーク）制度\n社員持株会\n総合福利厚生サービス\n┗グルメやショッピング、eラーニング等のサービスを優待価格で利用可能\n•書籍レンタル","description_format":"text","description_chars":1465,"description_truncated":false,"requirements":{"experience_years_min":null,"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":"2026-10-17T19:29:14Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long 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