Sr. Data Engineer

Taipei City, Taiwan
Data Analyst
Full Time

What You'll Do / Responsibilities

漸強實驗室的主要產品是 SaaS 平台 Messaging Analytics&Automation Cloud (MAAC),以及 Conversation Analytics and Automation Cloud (CAAC),為目前業界領先的 MarTech 解決方案。這兩項產品服務的企業客戶,包含數百家不同產業的知名跨國企業。在漸強你所開發的功能會真正影響到人們,在生活中也常常發現自己開發的功能正在被店家所使用。

身為漸強工程團隊的一員,你會參與完整的產品開發週期,不只是交付需求,更可以提供你的想法,來影響產品走向,幫助產品成長;團隊成員都樂於分享且對技術非常有熱誠,主動學習追求各種新技術,每週都有工程討論會議,討論與分享技術大小事,每天會 stand-up meeting 來同步開發與問題;自由透明的文化,可以自己安排工作時間,不受限制的假日天數,最重要的是,漸強追求彈性以及高效的工作環境。

目前我們的後台每月發送近 2 億則個人化的訊息與 2千多萬名的終端使用者互動,每日處理數 TB 的億級數據來做分析以及 AI 應用。身為 Data Engineer,你將與產品開發團隊一起合作,設計、實做、優化 Data Pipeline 與數據平台,以實現漸強實驗室以數據導向的企業文化與產品決策。此外,你也將與產品開發團隊、產品經理、資料科學家密切合作,設計並開發基於資料應用的解決方案,幫助企業客戶解決他們的日常難題。這會非常有趣且充滿挑戰,期待你的加入!

更多資訊,歡迎參考我們的技術部落格 

Responsibilities

  • Design, develop, and operate reliable and scalable data pipelines and platforms.
  • Model product and system data into Crescendo’s data warehouse in well-designed schemas for further efficient processing and analysis, and maintaining the security and quality of our datasets.
  • Lead the development of Crescendo’s data products, highly collaborating with engineering teams, product managers, and data scientists.
  • Write high-quality, clean, and maintainable code using engineering best practices.
  • Participate in code reviews to maintain a high-quality code culture.
Required Qualifications
  • Proficient in Python and SQL.
  • 3-5 years or equivalent experience in designing, developing, and operating data pipelines and platforms on Cloud (GCP, AWS, Azure).
  • Solid hands-on experience in data workflow frameworks, such as Airflow, Dataflow, or DBT.
  • Good verbal and written communication skills, including the ability to explain complex technical concepts to stakeholders and business people.
  • Passionate about data modeling, architecture, and engineering practices.
  • Team player with a growth mindset and logical thinking.
  • Feel comfortable working in a rapidly changing environment with ambiguous requirements.
  • Ability to speak and write succinctly and clearly in English.
Preferred Qualifications
  • Product-minded. You are proactive with product ideas and interest in the business, user behavior, and data on them.
  • Experience in designing large-scale data pipelines and data platforms under the multi-product context.
  • Experience in building processes for data governance on Cloud (GCP, AWS, Azure).
  • Proficient in data modeling in OLAP database systems.
  • Proficient in diverse database systems, such as PostgreSQL, Redis, Elasticsearch, InfluxDB, ClickHouse, etc.
  • Contributions to open-source projects or participants in technical communities.

Our Tech Stack

  • Python
  • Airflow
  • PostgreSQL (Cloud SQL)
  • Kubernetes (GKE)
  • GitHub Actions and ArgoCD
  • Prometheus, Grafana, and Datadog
  • GCP (BigQuery, Dataflow, Pub/Sub, GCS, Cloud Function, etc)
  • Read more: Data Engineering on Cloud Data Platform
Benefits / Compensation

◎ 安心保障 

  • 法定保障-勞保、健保、勞退提撥 
  • 貼心保障-到職滿一年,即享有每年1萬元健康檢查補助 

◎ 彈性工作環境 

  • 大安站步行 5分鐘,上下班交通方便 
  • 彈性上下班時間,可自由安排遠端上班 
  • 開放式工作空間,你可以選擇在任何舒適的角落工作 

◎ 公司文化 

  • 年輕團隊,扁平組織,去官僚化的快速溝通 
  • 互相包容尊重、講求效率與信任 
  • 所有的意見都會被重視,一起學習成長 

◎ 福利制度 

  • 到職即享有無期限休假,只要工作能完成,連休沒有上限!(所有假別皆不扣薪) 
  • 公司提供高規的 MAC 筆電 or 補助3萬自己買 
  • 每個月零食櫃更新,還有各式咖啡、茶,隨時補充能量 
  • 定期公司聚餐,投票去吃大餐 
  • 每季Team Building活動,一起同樂去 

◎ 進修機會 

  • 公司補助參加 Workshop 或進修課程,讓你學習到業界最新的知識 
  • 不定期的業界人士內部分享,讓你了解業界的的最新脈動 (之前請過北美 Google,矽谷工程來、大數據工程師來分享業界最新動態) 
  • 更多詳情請閱讀公司部落格:http://bit.ly/2JX3vnO
Salary
TWD 1,300,000 ~ 2,000,000 / year
Application Form
* is required.


(PDF file preferred)