転職・求人情報の詳細をご覧になる場合は会員登録（無料） が必要です
| 部署・役職名 | Data Engineer |
|---|---|
| 職種 | |
| 業種 | |
| 勤務地 | |
| 仕事内容 |
－ Design, build, and maintain distributed batch and real－time data pipelines and data models. － Facilitate real－life actionable use cases leveraging our data with a user－ and product－oriented mindset. － Be curious and eager to work across a variety of engineering specialties （i.e., Data Science, and Machine Learning to name a few）. － Support teams without data engineers with building decentralized data solutions and product integrations, for example around DynamoDB. Enforce privacy and security standards by design. － Conceptualize, design and implement improvements to ETL processes and data through independent communication with data－savvy stakeholders. |
| 労働条件 |
－ Work Hours: Super Flex Time （No Core Time） In principle, 10:00am－6:45pm （actual working hours: 7h45m ＋ 1h break） －Holidays Every Sat/Sun/National holidays （In Japan）/New Year's break/Company－designated Special days － Paid leave Annual leave （up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire） Personal leave （5 days each year, granted proportionally according to the month of employment） － Salary Annual salary paid in 12 installments （monthly） Based on skills, experience, and abilities Reviewed once a year Special Incentive once a year ＊Based on company performance and individual contribution and evaluation Late overtime allowance, Work from anywhere allowance （JPY100,000） Benefits Social Insurance （health insurance, employee pension, employment insurance and compensation insurance） 401K Language Learning support Translation/Interpretation support VISA sponsor ＋ Relocation support |
| 応募資格 |
【必須（MUST）】 － ＋3 years experience building complex data pipelines and working with both technical and business stakeholders.－ Experience in at least one primary language （e.g., Java, Scala, Python） and SQL （any variant）. － Experience with technologies like BigQuery, Spark, AWS Redshift, Kafka, or Kinesis streaming. － Experience creating and maintaining ETL processes. － Experience designing, building, and operating a DataLake or Data Warehouse. －Experience with DBMS and SQL tuning. －Strong fundamentals in big data and machine learning. －ビジネスレベルの日本語もしくは英語（英語スキルは必須ではありません 【歓迎（WANT）】 Experience with RESTful APIs, Pub/Sub Systems, or Database Clients.Experience with analytics and defining metrics. Experience with measuring data quality. Experience productionalizing a machine learning workflow; MLOps Experience in one or more machine learning frameworks, including but not limited to scikit－learn, Tensorflow, PyTorch and H2O. Language ability in Japanese and English is a plus （We have a professional translator but it is nice to have language skills）. Experience with AWS services. Experience with microservices. Knowledge of Data Security and Privacy. |
| リモートワーク | 可 「可」と表示されている場合でも、「在宅に限る」「一定期間のみ」など、条件は求人によって異なります |
| 受動喫煙対策 | 喫煙室設置 |
| 更新日 | 2022/12/12 |
| 求人番号 | 2503792 |
採用企業情報
- 企業名は会員のみ表示されます
- 会社規模501-5000人
この求人の取り扱い担当者
-
- ?
- ヘッドハンターの氏名は会員のみ表示されます
会社名は会員のみ表示されます
-
- 金融 コンサルティング IT・インターネット
-
