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Job Description

Responsibilities Include:

  • Collect, define and document engineering data requirements.
  • Design and develop the data pipeline to integrate the engineering data into the data lake
  • Design analytics database schema
  • Automate and monitor ETL/ELT jobs for analytics database
  • Design data model to integrate with existing business data
  • Work with to existing team to integrate, adapt, or identify new tools to efficiently collect, clean, prepare, and store data for analysis
  • Design and implement data quality checking steps to ensure high data quality for dashboard and ML/AI models
  • Provide technical and backend configuration support to the engineering applications

Requirements

Basic Qualifications:

  • Bachelor’s degree in Computer Science, Mathematics, Engineering, or in a related field
  • Experience writing shell scripts, scheduling cron jobs and working with Linux environment.
  • Experience using Airflow or similar data pipeline tools
  • Experience using Gitlab / GitHub or similar version control tools
  • 4+ years’ experience with object-oriented programming language: Python, Java, etc.
  • 4+ years’ experience building processes supporting data pipeline, data cleansing / transformation, data quality monitoring
  • 4+ years’ experience in DB schema, data pipeline design and database management
  • 4+ years’ experience in optimizing data pipelines, architectures and data sets Fluency in structured and unstructured data and management through modern data transformation methodologies
  • Experience with engineering data management tools: Cadence, Pulse, Windchill, ELOIS, Creo or similar tools
  • Strong analytical, problem solving, verbal and written communication skills
  • Not afraid of conflicts, and able to build consensus through direct interaction and compromise
  • Ability to work effectively cross-culturally and across multiple time zones
  • Ability to work with cross-functional teams and stakeholders

Preferred Qualifications:

  • 4+ years’ experience with designing and managing data in modern ETL architect like Airflow, Spark, Kafka, Hadoop, Snowflakes
  • 4+ years’ experience in optimizing data pipelines, architectures and data sets fluency in structured and unstructured data and management through modern data transformation methodologies
  • Experience working with engineering data or similar data
  • Experience with creating API for MS SQL database
  • Experience with Microsoft Power Platform
  • Experience with designing and developing dashboard
  • A successful history of manipulating, processing and extracting value from large datasets
  • Brings established relationships across Lenovo ISG to the role
  • English language proficiency is preferred, and Mandarin capability is advantaged

Interview process

The interview will be conducted via Teams.

Minimum 2 and Max 3 Rounds interview will be conducted by Team which based in the US

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5 years of experience required
1,300,000+ TWD / year
Partial Remote Work
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Lenovo是一家營業額達600億美元,名列《財富》世界500大,業務遍及180個市場的全球化科技企業。 我們專注於“Smarter Technology for All”的願景,每天為數百萬名客戶提供智慧化裝置與基礎架構,並幫助他們打造智慧化解決方案、服務與軟體,期待攜手成就一個更具包容性、更值得信賴且可持續發展的數位化未來。

價值觀是我們行為的準則,Lenovo的價值觀包含: -服務客戶 -誠信共贏 -創業精神 -開拓創新。


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